diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md deleted file mode 100644 index 5969333..0000000 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ /dev/null @@ -1,23 +0,0 @@ ---- -name: Bug report -about: Create a report to help us improve -title: '' -labels: '' -assignees: '' - ---- - -**Describe the bug** - -**To Reproduce** - -**Expected behavior** - -**Desktop (please complete the following information):** - - Distro: - - Linux version: - - gcc version: - - Rust version: - -**Additional context** -Add any other context about the problem here. diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml deleted file mode 100644 index 0086358..0000000 --- a/.github/ISSUE_TEMPLATE/config.yml +++ /dev/null @@ -1 +0,0 @@ -blank_issues_enabled: true diff --git a/.github/ISSUE_TEMPLATE/custom.md b/.github/ISSUE_TEMPLATE/custom.md deleted file mode 100644 index 48d5f81..0000000 --- a/.github/ISSUE_TEMPLATE/custom.md +++ /dev/null @@ -1,10 +0,0 @@ ---- -name: Custom issue template -about: Describe this issue template's purpose here. -title: '' -labels: '' -assignees: '' - ---- - - diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md deleted file mode 100644 index bbcbbe7..0000000 --- a/.github/ISSUE_TEMPLATE/feature_request.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -name: Feature request -about: Suggest an idea for this project -title: '' -labels: '' -assignees: '' - ---- - -**Is your feature request related to a problem? Please describe.** -A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] - -**Describe the solution you'd like** -A clear and concise description of what you want to happen. - -**Describe alternatives you've considered** -A clear and concise description of any alternative solutions or features you've considered. - -**Additional context** -Add any other context or screenshots about the feature request here. diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md deleted file mode 100644 index 68f8728..0000000 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ /dev/null @@ -1,6 +0,0 @@ -Fixes # - -## Proposed Changes - - - - - - diff --git a/.github/workflows/build_all.yml b/.github/workflows/build_all.yml deleted file mode 100644 index 54f57dc..0000000 --- a/.github/workflows/build_all.yml +++ /dev/null @@ -1,21 +0,0 @@ -name: Build full project -on: - push: - branches: [ master ] - pull_request: - branches: [ master ] -env: - CARGO_TERM_COLOR: always -jobs: - build: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v3 - - name: preparation - run: | - rustup update stable - rustup default stable - npm i -g yarn - - name: build - run: make - diff --git a/.github/workflows/c.yml b/.github/workflows/c.yml new file mode 100644 index 0000000..a21a557 --- /dev/null +++ b/.github/workflows/c.yml @@ -0,0 +1,19 @@ +name: Everything C +on: + push: + branches: [ master ] + pull_request: + branches: [ master ] +jobs: + static_analysis: + name: Run gcc with warnings + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - name: Install Dependencies + run: sudo apt-get install gcc cppcheck + - name: Compile Library with Warnings + run: gcc -Wall -Wextra -Wpedantic -Werror -std=c11 -c -o /dev/null ./blackheap-benchmarker/src/c_code/benchmarker_internal.c + - name: Run cppcheck + # This is everything but `unusedFunction` enabled + run: cppcheck --enable=warning,style,performance,portability,information,missingInclude --error-exitcode=1 ./blackheap-benchmarker/src/c_code/benchmarker.c diff --git a/.github/workflows/rust.yml b/.github/workflows/rust.yml index ec7e272..90d3857 100644 --- a/.github/workflows/rust.yml +++ b/.github/workflows/rust.yml @@ -7,21 +7,69 @@ on: env: CARGO_TERM_COLOR: always jobs: - build: + build_works: + name: Build Works runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 - - run: | - rustup update - rustup component add clippy - rustup component add rustfmt - - name: Check - working-directory: ./blackheap-modeller - run: cargo check - - name: Run clippy - working-directory: ./blackheap-modeller - run: cargo clippy -- -Dwarnings - - name: Run Fmt - working-directory: ./blackheap-modeller - run: cargo fmt --check + - uses: actions/checkout@v3 + - uses: actions-rs/toolchain@v1 + with: + profile: minimal + toolchain: stable + override: true + - name: run cargo build --release + run: | + cargo build --release + test: + name: Test + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions-rs/toolchain@v1 + with: + profile: minimal + toolchain: stable + override: true + - name: run cargo test + run: | + cargo test + fmt: + name: fmt + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions-rs/toolchain@v1 + with: + profile: minimal + toolchain: stable + override: true + - name: run cargo fmt --check + run: | + cargo fmt --check + clippy: + name: clippy + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions-rs/toolchain@v1 + with: + profile: minimal + toolchain: stable + override: true + - name: run cargo clippy + run: | + cargo clippy + doc: + name: Doc + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions-rs/toolchain@v1 + with: + profile: minimal + toolchain: stable + override: true + - name: run cargo doc + run: | + cargo doc diff --git a/.gitignore b/.gitignore index f8ae934..2ee01cd 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,15 @@ -.vscode -blackheap +# Generated by Cargo +# will have compiled files and executables +debug/ +target/ + +# Remove Cargo.lock from gitignore if creating an executable, leave it for libraries +# More information here https://doc.rust-lang.org/cargo/guide/cargo-toml-vs-cargo-lock.html +Cargo.lock + +# These are backup files generated by rustfmt +**/*.rs.bk + +# MSVC Windows builds of rustc generate these, which store debugging information +*.pdb -# If you just use blackheap locally, please don't commit -/**/default-model diff --git a/Cargo.toml b/Cargo.toml new file mode 100644 index 0000000..29d4ec7 --- /dev/null +++ b/Cargo.toml @@ -0,0 +1,8 @@ +[workspace] + +members = [ + "blackheap", + "blackheap-benchmarker" +] + +resolver = "2" diff --git a/LICENSE b/LICENSE index baebc1b..36d2316 100644 --- a/LICENSE +++ b/LICENSE @@ -1,19 +1,7 @@ -Copyright (c) 2022 Lars Quentin +Copyright (c) 2022-2024 Lars Quentin -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/Makefile b/Makefile deleted file mode 100644 index f2b2e4e..0000000 --- a/Makefile +++ /dev/null @@ -1,33 +0,0 @@ -all: clean build-rust - -run: build-rust - ./blackheap - -clean: - rm -f ./blackheap-modeller/assets/blackheap-benchmark.exe - rm -f ./blackheap-modeller/assets/index.html - rm -f blackheap - rm -rf ./blackheap-benchmark/build - rm -rf ./blackheap-frontend/{build,node_modules} - - -build-rust: build-react build-c - cd blackheap-modeller && \ - cargo build --release && \ - cd .. && \ - cp ./blackheap-modeller/target/release/blackheap . - -build-react: - cd blackheap-frontend && \ - yarn && \ - yarn build && \ - cd .. && \ - cp ./blackheap-frontend/build/index.html ./blackheap-modeller/assets - -build-c: - cd blackheap-benchmark && \ - make build && \ - cd .. && \ - cp ./blackheap-benchmark/build/blackheap-benchmark.exe ./blackheap-modeller/assets - -.phony: all clean build-rust build-react build-c diff --git a/README.md b/README.md index c569f27..aac525a 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,65 @@ -# RECODE IN PROGRESS SEE BRANCH ETA MID 2024 +# Blackheap -![Blackheap Logo](./icon.png) +# BIG RECODE, `old-v0` is the old branch This tool creates a performance model of your I/O speed and further allows to predict future preformance. -# [Link to the Documentation](https://lquenti.github.io/blackheap/book/) +## Note + +There is a **big recode** right now. But how does one eat an elephant... + +## Progress +- [x] Start new repo +- [ ] Requirements Engineering + - [x] Find out how to formalize what the code should do + - fuck formalization, we use pseudocode + - [ ] Look what the code did before by looking through... + - [ ] + - [ ] + - [ ] `blackheap-benchmark` + - [ ] `blackheap-modeller` + - [ ] `blackheap-frontend` + - [ ] `preloadee` + - [ ] All open issues + - [ ] All closed isses + - Unstructured ideas: + - Has to be resumeable + - be able to re-analyze raw data again + - Provide machine generated README in the data + - `blackheap-benchmarker` does not rely on bindgen compile time since this would create LLVM as dep + - [ ] Also provide a standalone binary for the benchmarker? + - [ ] Find a way to have C linting (all warnings, formatter, pedantic C standard) +- [ ] Design a high level architecture based on the requirements +- [x] Finish the benchmarker +- [ ] Finish the Rust Code + +- [ ] Try to move stuff out of the `bin` into the `lib` crates + +## Issues for when the recode is done +- Add `O_DIRECT` support + +## Architecture +Cargo workspace with the following crates +``` +- blackheap-core (lib): stuff all other libraries need (like Definitions) +- blackheap-benchmarker (lib): C code with Rust wrapper +- blackheap-analyzer (lib): Analysis of the benchmarks +- blackheap (bin): The user facing code +``` + +High level workflow: +``` +- user starts blackheap with config parameters +- blackheap checks which benchmarks are already done + - If folder doesnt exist / was not provided, do all benchmarks +- based on those benchmarks, do the analysis +- Create (human-readable) plots +- Create (machine-readable) parsing data +``` + +Benchmarker: +``` +- get input from Rust struct +- give output in Rust struct +- Rust part should support a to json function for persistence +``` diff --git a/blackheap-benchmark/.gitignore b/blackheap-benchmark/.gitignore deleted file mode 100644 index 4a106c8..0000000 --- a/blackheap-benchmark/.gitignore +++ /dev/null @@ -1,81 +0,0 @@ -build -# Created by https://www.toptal.com/developers/gitignore/api/c,vim -# Edit at https://www.toptal.com/developers/gitignore?templates=c,vim - -### C ### -# Prerequisites -*.d - -# Object files -*.o -*.ko -*.obj -*.elf - -# Linker output -*.ilk -*.map -*.exp - -# Precompiled Headers -*.gch -*.pch - -# Libraries -*.lib -*.a -*.la -*.lo - -# Shared objects (inc. Windows DLLs) -*.dll -*.so -*.so.* -*.dylib - -# Executables -*.exe -*.out -*.app -*.i*86 -*.x86_64 -*.hex - -# Debug files -*.dSYM/ -*.su -*.idb -*.pdb - -# Kernel Module Compile Results -*.mod* -*.cmd -.tmp_versions/ -modules.order -Module.symvers -Mkfile.old -dkms.conf - -### Vim ### -# Swap -[._]*.s[a-v][a-z] -!*.svg # comment out if you don't need vector files -[._]*.sw[a-p] -[._]s[a-rt-v][a-z] -[._]ss[a-gi-z] -[._]sw[a-p] - -# Session -Session.vim -Sessionx.vim - -# Temporary -.netrwhist -*~ -# Auto-generated tag files -tags -# Persistent undo -[._]*.un~ - -# End of https://www.toptal.com/developers/gitignore/api/c,vim - diff --git a/blackheap-benchmark/Makefile b/blackheap-benchmark/Makefile deleted file mode 100644 index d32d086..0000000 --- a/blackheap-benchmark/Makefile +++ /dev/null @@ -1,21 +0,0 @@ -all: clean make-build-folder build show-help - -clean: - rm -rf build - -make-build-folder: clean - mkdir build - -build: make-build-folder - gcc -Wall -Wextra -Wpedantic -std=gnu11 -O2 -D_GNU_SOURCE -o ./build/blackheap-benchmark.exe ./src/*.c -lrt - -show-help: build - ./build/blackheap-benchmark.exe --help - -example: build - ./build/blackheap-benchmark.exe --read --file=/dev/shm/example_benchmark.dat --mem-pattern=seq --file-pattern=seq --repeats=5 --mem-buf=5242880 --file-buf=67108864 --access-size=1048576 - -special-example: build - ./build/blackheap-benchmark.exe --read --file=/dev/zero --mem-pattern=seq --file-pattern=rnd --repeats=5 --mem-buf=5242880 --file-buf=67108864 --access-size=1048576 - -.PHONY: all clean make-build-folder build show-help diff --git a/blackheap-benchmark/README.md b/blackheap-benchmark/README.md deleted file mode 100644 index fa7d3b1..0000000 --- a/blackheap-benchmark/README.md +++ /dev/null @@ -1,10 +0,0 @@ -# Yet another file I/O Benchmarker - -## Technical Decisions -- `make` and `gcc` for compilation -- For IDE support: `compile_commands.json` generated via [bear](https://github.com/rizsotto/Bear) in order to support LSP-Servers like [clangd](https://clangd.llvm.org/). -- Program depends on glibc for argument parsing -- The program uses [SemVer](https://semver.org/) - -## License -2021-2022 MIT Lars Quentin diff --git a/blackheap-benchmark/src/arg_parser.c b/blackheap-benchmark/src/arg_parser.c deleted file mode 100644 index 3690ac4..0000000 --- a/blackheap-benchmark/src/arg_parser.c +++ /dev/null @@ -1,334 +0,0 @@ -// -// Created by lquenti on 02.12.21. -// - - -#include -#include -#include -#include -#include - -#include -#include -#include - -#include"arg_parser.h" - -/* argp uses cool default indexing when one does not define some values. - * Thus, this is okay (and intended) in this file. - */ -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wmissing-field-initializers" - - -const char *DEFAULT_FILENAME = "blackheap_benchmark_test_file.dat"; -const char *DEFAULT_FILEPATH = "/tmp/blackheap_benchmark_test_file.dat"; -const char *argp_program_bug_address = "https://github.com/lquenti/blackheap/issues"; -const char *argp_program_version = "0.1.0"; - - -static inline access_pattern_t parse_access_pattern(char *p, struct argp_state *state) -{ - to_lower_str(p); - if (strcmp(p, "off0") == 0) - { - return ACCESS_PATTERN_CONST; - } - else if (strcmp(p, "seq") == 0) - { - return ACCESS_PATTERN_SEQUENTIAL; - } - else if (strcmp(p, "rnd") == 0) - { - return ACCESS_PATTERN_RANDOM; - } - argp_error(state, "Unknown access pattern '%s'\n", p); - exit(1); -} - -static inline void get_size_t_or_fail(const char *str, size_t *out, struct argp_state *state) -{ - int ret = sscanf(str, "%zu", out); - if (ret == EOF) - { - argp_error(state, "Could not read parameters; EOF encountered while parsing number '%s' with error '%s'.\n", - str, - strerror(errno)); - } - else if (ret == 0) - { - argp_error(state, "Could not read parameters; Could not convert number '%s'\n", str); - } -} - -/* This function does 2 things: - * 1. We have to check whether we have a normal file or not. - * If we do not have a normal file, we probably can't just - * write into it to change it's size. - * By normal files, I mean things like: - * - Character special devices - * - Block special devices - * - Pipes - * See: https://www.gnu.org/software/libc/manual/html_node/Testing-File-Type.html - * 2. If they, by mistake or not, set the filepath to a directory, we create a file into - * that directory. - */ -static bool is_normal_file(char **path_ptr) -{ - struct stat st; - int res = stat(*path_ptr, &st); - - /* if it failed, it either does not exist or it REALLY failed. */ - if (res == -1) - { - if (errno != ENOENT) - { - fprintf(stderr, "ERROR: %s is an invalid path. Please check permissions.\n", *path_ptr); - exit(1); - } - /* So it was just non-existing */ - int fd = open_or_die(*path_ptr, O_CREAT | O_WRONLY, 0644); - close_or_die(fd); - /* We know it's a file, thus we are good */ - return true; - } - - /* The stat request worked. If it is a file, we are good */ - if (S_ISREG(st.st_mode)) - { - return true; - } - /* If it is a directory, let's create a file within it */ - if (S_ISDIR(st.st_mode)) - { - /* I know, I know this is formally a memory leak - * but I couldn't be less bothered because - * argvs are not freed anyways - */ - char *buffer = malloc(sizeof(char) * 128); - strcpy(buffer, *path_ptr); - strcat(buffer, "/"); - strcat(buffer, DEFAULT_FILENAME); - int fd = open_or_die(buffer, O_CREAT | O_WRONLY, 0644); - close_or_die(fd); - /* Here we are changing it to a file. - * So it looks like we never had a wrong input :) - */ - *path_ptr = buffer; - return true; - } - /* It exists and is neither a file nor a directory, we have to be careful. */ - return false; -} - -static inline void check_argument_numbers(const benchmark_config_parser_t *config, struct argp_state *state) -{ - if (config->number_of_missing_arugments != 0) - argp_error(state, "Wrong number of arguments:\n"); -} -static inline void check_read_and_write(const benchmark_config_parser_t *config, struct argp_state *state) -{ - if (config->read_was_selected && config->write_was_selected) - argp_error(state, "Both --read and --write were selected"); - if (!(config->read_was_selected || config->write_was_selected)) - argp_error(state, "Neither --read and --write were selected"); -} -/** - * Both strategies have the goal that the vfs page cache is bypassed. - * Thus, it doesn't make sense if both are activated. - */ -static inline void check_both_memory_restriction_were_set(const benchmark_config_parser_t *config, struct argp_state *state) { - if (config->o_direct_was_selected && config->free_ram_if_selected != 0) - argp_error(state, "Selecting both --free-ram and --o-direct will screw the results"); -} -static inline void check_access_size_larger_mem_buf(const benchmark_config_parser_t *config, struct argp_state *state) -{ - if (config->access_size_in_bytes > config->memory_buffer_in_bytes) - argp_error(state, "The access size of a single request can't be larger than than the whole memory buffer"); -} -static inline void check_access_size_larger_file_buf(const benchmark_config_parser_t *config, struct argp_state *state) -{ - if (config->access_size_in_bytes > config->file_size_in_bytes) - argp_error(state, "The access size of a single request can't be larger than than the whole file size"); -} - -/** Check whether we can sequentially read without wrapping. - * - * The big advantage of sequential reads (compared to let's say random ones) is that the - * kernel can prefetch accordingly. - * - * Let's say that we have n tests. The access size of each I/O read is b Bytes. - * Let's now say that either the file size is smaller than n*b. Then we have to - * start at the beginning, thus creating a spike. - * - * Storage is not scarce anymore, especially in our access sizes. - */ -static inline void check_needs_to_wrap(const benchmark_config_parser_t *config, struct argp_state *state) -{ - size_t size_needed = config->access_size_in_bytes * config->number_of_io_op_tests; - bool use_prefetching = config->access_pattern_in_file == ACCESS_PATTERN_SEQUENTIAL; - if (use_prefetching && size_needed > config->file_size_in_bytes) - argp_error(state, "When reading sequentially, we need a file buffer size of at least access_size * number_of_tests bytes"); -} - -static inline void check_does_not_try_to_delete_special_file(const benchmark_config_parser_t *config, struct argp_state *state) -{ - if ((!config->prepare_file_size) && config->delete_afterwards_was_selected) - argp_error(state, "You can't delete a special file like '%s'\n--delete-afterwards is invalid here", - config->filepath); -} - -static error_t parse_opt(int key, char *arg, struct argp_state *state) -{ - benchmark_config_parser_t *config = state->input; - - switch (key) - { - case 'r': - config->is_read_operation = true; - config->read_was_selected = true; - break; - case 'w': - config->is_read_operation = false; - config->write_was_selected = true; - break; - case ID_MEM_PATTERN: - config->access_pattern_in_file = parse_access_pattern(arg, state); - config->number_of_missing_arugments--; - break; - case ID_FILE_PATTERN: - config->access_pattern_in_memory = parse_access_pattern(arg, state); - config->number_of_missing_arugments--; - break; - case ID_FILEPATH: - config->filepath = arg; - config->prepare_file_size = is_normal_file(&config->filepath); - break; - case ID_REPEATS: - get_size_t_or_fail(arg, &config->number_of_io_op_tests, state); - config->number_of_missing_arugments--; - break; - case ID_MEM_SIZE: - get_size_t_or_fail(arg, &config->memory_buffer_in_bytes, state); - config->number_of_missing_arugments--; - break; - case ID_FILE_SIZE: - get_size_t_or_fail(arg, &config->file_size_in_bytes, state); - config->number_of_missing_arugments--; - break; - case ID_ACCESS_SIZE: - get_size_t_or_fail(arg, &config->access_size_in_bytes, state); - config->number_of_missing_arugments--; - break; - case ID_RESTRICT_FREE_RAM: - get_size_t_or_fail(arg, &config->free_ram_if_selected, state); - break; - case ID_USE_O_DIRECT: - config->o_direct_was_selected = true; - break; - case ID_DROP_CACHE: - config->drop_cache_was_selected = true; - break; - case ID_DO_REREAD: - config->reread_was_selected = true; - break; - case ID_DELETE_AFTERWARDS: - config->delete_afterwards_was_selected = true; - break; - case ARGP_KEY_END: - check_argument_numbers(config, state); - check_read_and_write(config, state); - check_both_memory_restriction_were_set(config, state); - check_access_size_larger_mem_buf(config, state); - check_access_size_larger_file_buf(config, state); - check_needs_to_wrap(config, state); - check_does_not_try_to_delete_special_file(config, state); - break; - } - return 0; -} - -static struct argp_option options[] = { - /* Define a group for all io_benchmark options in case someone wants to embed them. */ - {0, 0, 0, 0, "Benchmark Options:", GROUP_BENCHMARK_OPTIONS}, - - /* Read and write are mutually exclusive. */ - {0, 0, 0, 0, "Possible Benchmark Operations:", GROUP_BENCHMARK_OPERATIONS}, - {"read", 'r', 0, 0, "Benchmark a read operation."}, - {"write", 'w', 0, 0, "Benchmark a write operation."}, - - /* File Patterns */ - {0, 0, 0, 0, "Access Patterns:\nPossible MODES: off0,seq,rnd", GROUP_ACCESS_PATTERNS}, - {"mem-pattern", ID_MEM_PATTERN, "MODE", 0, "Pattern to access the memory buffer which interacts with the file."}, - {"file-pattern", ID_FILE_PATTERN, "MODE", 0, "Pattern to access the benchmarked file."}, - - /* Other Benchmark Parameters */ - {0, 0, 0, 0, "Other Parameters:", GROUP_OTHER_PARAMETERS}, - {"file", ID_FILEPATH, "PATH", OPTION_ARG_OPTIONAL, "Path to directory/file from where to benchmark.\nDefault: /tmp/"}, - {"repeats", ID_REPEATS, "N", 0, "Number of repititions for selected I/O operation."}, - /* Besides actual BYTES-Numbers we also allow KiB, MiB... */ - {"mem-buf", ID_MEM_SIZE, "BYTES", 0, "Size of the memory buffer to read from/write to."}, - {"file-buf", ID_FILE_SIZE, "BYTES", 0, "Size of the file to read from/write to."}, - {"access-size", ID_ACCESS_SIZE, "BYTES", 0, "Size of a single I/O operation."}, - - /* Different Toggles */ - {0, 0, 0, 0, "Mutually exclusive Toggles:", GROUP_TOGGLES}, - {"free-ram", ID_RESTRICT_FREE_RAM, "BYTES", OPTION_ARG_OPTIONAL, "Restrict the RAM to n available byte to force cache eviction."}, - {"o-direct", ID_USE_O_DIRECT, 0, OPTION_ARG_OPTIONAL, "Use O_DIRECT to bypass the VFS page cache"}, - {"drop-cache", ID_DROP_CACHE, 0, OPTION_ARG_OPTIONAL, "Before doing anything, ask Linux to drop the page cache"}, - {"reread", ID_DO_REREAD, 0, OPTION_ARG_OPTIONAL, "Read every block twice, just benchmark the second time."}, - {"delete-afterwards", ID_DELETE_AFTERWARDS, 0, OPTION_ARG_OPTIONAL, "Delete benchmarking file afterwards"}, - - /* -1 is the default group. Let's give it a name. */ - {0, 0, 0, 0, "Miscellaneous:", -1}, - {NULL}}; - -static struct argp argp = { - options, - parse_opt, - "--read|--write --file-pattern=MODE --mem-pattern=MODE --file=[PATH] --repeats=N --mem-buf=BYTES " - "--file-buf=BYTES --access-size=BYTES [--free-ram=BYTES] [--o-direct] [--drop-cache] [--reread] [--delete-afterwards]", - "Note: read or write are mutually exclusive\v" - "The file given will be overwritten, be careful when specifying it."}; - -void parse_benchmark_arguments(int argc, char **argv, benchmark_config_t *out) -{ - benchmark_config_parser_t parser = { - /* Default Initialization */ - .filepath = (char *)DEFAULT_FILEPATH, - .prepare_file_size = true, - .read_was_selected = false, - .write_was_selected = false, - .free_ram_if_selected = 0, - .o_direct_was_selected = false, - .drop_cache_was_selected = false, - .reread_was_selected = false, - .delete_afterwards_was_selected = false, - - /* |{pattern1,pattern2,repeats,mem_buf,file_buf,accss_size}| = 6 */ - .number_of_missing_arugments = 6, - }; - argp_parse(&argp, argc, argv, 0, 0, &parser); - - /* Extract config values */ - benchmark_config_t config = { - .filepath = parser.filepath, - .memory_buffer_in_bytes = parser.memory_buffer_in_bytes, - .file_size_in_bytes = parser.file_size_in_bytes, - .access_size_in_bytes = parser.access_size_in_bytes, - .number_of_io_op_tests = parser.number_of_io_op_tests, - .access_pattern_in_memory = parser.access_pattern_in_memory, - .access_pattern_in_file = parser.access_pattern_in_file, - .is_read_operation = parser.is_read_operation, - .prepare_file_size = parser.prepare_file_size, - .use_o_direct = parser.o_direct_was_selected, - .restrict_free_ram_to = parser.free_ram_if_selected, - .drop_cache_first = parser.drop_cache_was_selected, - .do_reread = parser.reread_was_selected, - .delete_afterwards = parser.delete_afterwards_was_selected, - }; - memcpy(out, &config, sizeof(benchmark_config_t)); -} - -#pragma GCC diagnostic pop diff --git a/blackheap-benchmark/src/arg_parser.h b/blackheap-benchmark/src/arg_parser.h deleted file mode 100644 index 50a28d6..0000000 --- a/blackheap-benchmark/src/arg_parser.h +++ /dev/null @@ -1,57 +0,0 @@ -#ifndef IO_BENCHMARK_ARG_PARSER_H -#define IO_BENCHMARK_ARG_PARSER_H - -#include "io_benchmark.h" -#include "helper.h" - -typedef struct benchmark_config_parser_t -{ - char *filepath; - size_t memory_buffer_in_bytes; - size_t file_size_in_bytes; - size_t access_size_in_bytes; - size_t number_of_io_op_tests; - size_t available_bytes; - access_pattern_t access_pattern_in_memory; - access_pattern_t access_pattern_in_file; - bool is_read_operation; - bool prepare_file_size; - bool read_was_selected; - bool write_was_selected; - size_t free_ram_if_selected; - bool o_direct_was_selected; - bool drop_cache_was_selected; - bool reread_was_selected; - bool delete_afterwards_was_selected; - size_t number_of_missing_arugments; -} benchmark_config_parser_t; - -typedef enum argp_index_values_t -{ - GROUP_BENCHMARK_OPTIONS = 2000, - - GROUP_BENCHMARK_OPERATIONS = 2100, - - GROUP_ACCESS_PATTERNS = 2200, - ID_MEM_PATTERN = 2201, - ID_FILE_PATTERN = 2202, - - GROUP_OTHER_PARAMETERS = 2300, - ID_FILEPATH = 2301, - ID_REPEATS = 2302, - ID_MEM_SIZE = 2303, - ID_FILE_SIZE = 2304, - ID_ACCESS_SIZE = 2305, - - GROUP_TOGGLES = 2400, - ID_RESTRICT_FREE_RAM = 2401, - ID_USE_O_DIRECT = 2402, - ID_DROP_CACHE = 2403, - ID_DO_REREAD = 2404, - ID_DELETE_AFTERWARDS = 2405, -} argp_index_values_t; - -void parse_benchmark_arguments(int argc, char **argv, benchmark_config_t *out); - - -#endif //IO_BENCHMARK_ARG_PARSER_H diff --git a/blackheap-benchmark/src/helper.c b/blackheap-benchmark/src/helper.c deleted file mode 100644 index f970d44..0000000 --- a/blackheap-benchmark/src/helper.c +++ /dev/null @@ -1,242 +0,0 @@ -// -// Created by lquenti on 27.11.21. -// - - - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include"helper.h" - -void *malloc_or_die(size_t size) -{ - void *res; - if (size == 0) - { - fprintf(stderr, "ERROR: malloc() called with length zero. Exiting...\n"); - exit(1); - } - res = malloc(size); - if (res == 0) - { - fprintf(stderr, "ERROR: malloc() failed.\n"); - exit(1); - } - return res; -} - -int open_or_die(const char *pathname, int flags, mode_t mode) -{ - int res = open(pathname, flags, mode); - if (res == -1) - { - fprintf(stderr, "ERROR: opening %s failed with '%s'\n", pathname, strerror(errno)); - exit(1); - } - return res; -} - -ssize_t read_or_die(int fd, void *buf, size_t count) -{ - if (count > MAX_IO_SIZE) - { - fprintf(stderr, "ERROR: Linux just supports reading up to 0x%x bytes per read\n", MAX_IO_SIZE); - exit(1); - } - ssize_t res = read(fd, buf, count); - if (res == -1) - { - fprintf(stderr, "ERROR: failed to read with '%s'\n", strerror(errno)); - exit(1); - } - if (((size_t)res) != count) - { - fprintf(stderr, "ERROR: Wrong number of bytes read. Expected: %zu Actual: %zu\n", count, res); - exit(1); - } - return res; -} - -ssize_t write_or_die(int fd, void *buf, size_t count) -{ - if (count > MAX_IO_SIZE) - { - fprintf(stderr, "ERROR: Linux just supports writing up to 0x%x bytes per read\n", MAX_IO_SIZE); - exit(1); - } - ssize_t res = write(fd, buf, count); - if (res == -1) - { - fprintf(stderr, "ERROR: failed to write with '%s'\n", strerror(errno)); - exit(1); - } - if (((size_t)res) != count) - { - fprintf(stderr, "ERROR: Wrong number of bytes writen. Expected: %zu Actual: %zu\n", count, res); - exit(1); - } - return res; -} - -int close_or_die(int fd) -{ - int res = close(fd); - if (res == -1) - { - fprintf(stderr, "ERROR: falied to close file with '%s'\n", strerror(errno)); - exit(1); - } - return res; -} - -off_t lseek_or_die(int fd, off_t offset, int whence) -{ - off_t res = lseek(fd, offset, whence); - if (res == -1) - { - fprintf(stderr, "ERROR: lseek failed with '%s'\n", strerror(errno)); - exit(1); - } - return res; -} - -int fsync_or_die(int fd) -{ - int res = fsync(fd); - if (res == -1) - { - fprintf(stderr, "ERROR: fsync failed with '%s'\n", strerror(errno)); - exit(1); - } - return res; -} - -int fstat_or_die(int fd, struct stat *st) -{ - int res = fstat(fd, st); - if (res == -1) - { - fprintf(stderr, "ERROR: fstat failed with '%s'\n", strerror(errno)); - exit(1); - } - return res; -} - -void io_op_worked_or_die(int res, bool is_read_operation) -{ - if (res == -1) - { - fprintf(stderr, "ERROR: %s failed with '%s'\n", (is_read_operation) ? "read" : "write", strerror(errno)); - exit(1); - } -} - -void remove_or_die(const char *pathname) { - int res = remove(pathname); - if (res == -1) { - fprintf(stderr, "ERROR: Could not delete '%s' with error '%s'\n", pathname, strerror(errno)); - exit(1); - } -} - -void strn_to_lower(char *str, size_t n) -{ - /* If n unspecified (i.e. 0) we use the full string. */ - if (n == 0) - n = strlen(str); - for (size_t i = 0; i < n; ++i) - str[i] = tolower(str[i]); -} - -long parse_from_meminfo(char *key) -{ - long res = -1; - size_t keylen = strlen(key); - strn_to_lower(key, keylen); - - /* Find the correct line */ - char buf[100]; - FILE *fp = fopen(MEMINFO, "r"); - while (fgets(buf, sizeof(buf), fp)) - { - strn_to_lower(buf, 0); - if (strncmp(buf, key, keylen)) - continue; - - char *colon = strchr(buf, ':'); - res = atol(colon + 1); - break; - } - fclose(fp); - - return res; -} - -size_t get_available_mem() -{ - /* Needed to allow case insensitive comparison */ - char free[] = "MemFree", cached[] = "Cached", buffers[] = "Buffers"; - return parse_from_meminfo(free) + parse_from_meminfo(cached) + - parse_from_meminfo(buffers); -} - -void allocate_memory_until(size_t space_left_in_kib) -{ - size_t current_available = get_available_mem(); - while (current_available > space_left_in_kib) - { - size_t delta = current_available - space_left_in_kib; - size_t n = (delta < 500 ? delta : 500) * 1024; - - char *p = malloc(n); - if (!p) - { - fprintf(stderr, "dummy malloc failed. available: %zu. Tried to alloc %zu. Quitting...", - current_available, n / 1024); - exit(1); - } - memset(p, '1', n); - current_available = get_available_mem(); - } -} - -/* See: https://unix.stackexchange.com/q/17936 */ -void drop_page_cache() { - /* sync first */ - sync(); - /* Write magic value */ - int fd = open(DROP_PAGE_CACHE, O_WRONLY); - /* Check whether we had the permissions */ - if (fd == -1) { - if (errno == EACCES) { - fprintf(stderr, "In order to clear the cache, we need permissions to open" DROP_PAGE_CACHE "\n"); - exit(1); - } else { - fprintf(stderr, "Unknown Error while opening" DROP_PAGE_CACHE ".\nError: %s\n", strerror(errno)); - exit(1); - } - } - char magic_value = '3'; - write_or_die(fd, &magic_value, sizeof(char)); - /* In case the OS does it non-blockingly */ - sleep(5); - close(fd); -} - -void to_lower_str(char *p) -{ - for (; *p; ++p) - { - *p = tolower(*p); - } -} \ No newline at end of file diff --git a/blackheap-benchmark/src/helper.h b/blackheap-benchmark/src/helper.h deleted file mode 100644 index 3ed9d01..0000000 --- a/blackheap-benchmark/src/helper.h +++ /dev/null @@ -1,98 +0,0 @@ -#ifndef IO_BENCHMARK_HELPER_H -#define IO_BENCHMARK_HELPER_H - -#include -#include -#include -#include - -#define MEMINFO "/proc/meminfo" - -/* See: https://unix.stackexchange.com/q/17936 */ -#define DROP_PAGE_CACHE "/proc/sys/vm/drop_caches" - -/* See: https://stackoverflow.com/a/70370002/9958281 */ -#define MAX_IO_SIZE 0x7ffff000 - -/** Helper function to "handle" malloc failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -void *malloc_or_die(size_t size); - - -/** Helper function to "handle" open failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -int open_or_die(const char *pathname, int flags, mode_t mode); - - -/** Helper function to "handle" read failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - * - * Also: the maximum size which is checked aginst is defined in Linux man 2 read - */ -ssize_t read_or_die(int fd, void *buf, size_t count); - - -/** Helper function to "handle" write failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - * - * Also: the maximum size which is checked aginst is defined in Linux man 2 write - */ -ssize_t write_or_die(int fd, void *buf, size_t count); - -/** Helper function to "handle" close failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -int close_or_die(int fd); - -/** Helper function to "handle" lseek failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -off_t lseek_or_die(int fd, off_t offset, int whence); - -/** Helper function to "handle" fsync failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -int fsync_or_die(int fd); - -/** Helper function to "handle" fstat failure. - * - * In this case, handling means logging failure and killing the whole program. - * This is fine because we have a job-based architecture and this job obviously failed. - */ -int fstat_or_die(int fd, struct stat *st); - - -/** Checks for io-failure outside of benchmark. - * - * This is done in order to minimize branching in the actual io-read, thus - * giving the best possible benchmark data. - */ -void io_op_worked_or_die(int res, bool is_read_operation); - - -void remove_or_die(const char *pathname); -void strn_to_lower(char *str, size_t n); -long parse_from_meminfo(char *key); -size_t get_available_mem(); -void allocate_memory_until(size_t space_left_in_kib); -/* See: https://unix.stackexchange.com/q/17936 */ -void drop_page_cache(); -void to_lower_str(char *p); - -#endif //IO_BENCHMARK_HELPER_H diff --git a/blackheap-benchmark/src/io_benchmark.c b/blackheap-benchmark/src/io_benchmark.c deleted file mode 100644 index b43376f..0000000 --- a/blackheap-benchmark/src/io_benchmark.c +++ /dev/null @@ -1,263 +0,0 @@ -// -// Created by lquenti on 22.11.21. -// - - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -#include"io_benchmark.h" - -// Notes: -// Which clocks to use: -// - https://stackoverflow.com/a/12480485/9958281 - - - -/** Initializes the file used for reading/writing. - * - * Since write needs a buffer argument, we use our benchmark buffer to fill it, thus - * we possibly need multiple iterations to fill it. - * The size is defined by config->file_size_in_bytes. - */ -static void init_file(const benchmark_config_t *config, benchmark_state_t *state) -{ - /* is it externally managed? */ - if (!config->prepare_file_size) - return; - - state->fd = open_or_die(config->filepath, O_CREAT | O_RDWR, 0644); - - /* Does it already have the correct size? */ - struct stat st; - fstat_or_die(state->fd, &st); - close_or_die(state->fd); - if ((size_t)st.st_size == config->file_size_in_bytes) - return; - - /* If not, we just truncate it to zero and fill it up */ - state->fd = open_or_die(config->filepath, O_RDWR | O_TRUNC, 0644); - size_t count = (MAX_IO_SIZE <= config->memory_buffer_in_bytes) ? MAX_IO_SIZE : config->memory_buffer_in_bytes; - size_t iterations = config->file_size_in_bytes / count; - for (; iterations; --iterations) - { - write_or_die(state->fd, state->buffer, count); - } - /* Now allocate the rest which is less than 1 buffer size. */ - size_t rest = config->file_size_in_bytes % count; - write_or_die(state->fd, state->buffer, rest); - - /* Did it work? */ - fsync_or_die(state->fd); - fstat_or_die(state->fd, &st); - if ((size_t)st.st_size != config->file_size_in_bytes) - { - fprintf(stderr, "ERROR: File size does not match. Expected: %zu Actual: %zu\n", config->file_size_in_bytes, - (size_t)st.st_size); - exit(1); - } -} - -/** Initializes the benchmark_state_t struct with proper values from the config. */ -static void init_state(const benchmark_config_t *config, benchmark_state_t *state) -{ - state->buffer = malloc_or_die(config->memory_buffer_in_bytes); - memset(state->buffer, '1', config->memory_buffer_in_bytes); - state->last_mem_offset = 0; - state->last_file_offset = 0; - state->io_op = config->is_read_operation ? read : (io_op_t)write; -} - -/** Sane initialization of the benchmark_results_t struct based on config values. */ -static void init_results(const benchmark_config_t *config, benchmark_results_t *results) -{ - results->length = config->number_of_io_op_tests; - results->durations = malloc_or_die(sizeof(double) * config->number_of_io_op_tests); -} - -/** Initialzes the memory pointer for the working memory buffer. - * - * Depending on the access patterns. - */ -static inline void init_memory_position(const benchmark_config_t *config, size_t *res) -{ - switch (config->access_pattern_in_memory) - { - case ACCESS_PATTERN_CONST: - case ACCESS_PATTERN_SEQUENTIAL: - { - *res = 0; - return; - } - case ACCESS_PATTERN_RANDOM: - { - /* TODO: Possible Alignment and Rewrite */ - *res = ((size_t)rand() * 128) % (config->memory_buffer_in_bytes - config->access_size_in_bytes); - return; - } - } -} - -/** Initializes the file pointer location. - * - * Depending on the access patterns. - * In our program state we also track the current state - */ -static inline void init_file_position(const benchmark_config_t *config, benchmark_state_t *state) -{ - switch (config->access_pattern_in_file) - { - case ACCESS_PATTERN_CONST: - case ACCESS_PATTERN_SEQUENTIAL: - { - // We start at the beginning - state->last_file_offset = 0; - return; - } - case ACCESS_PATTERN_RANDOM: - { - // TODO: Possible alignment and rewrite - size_t random_offset = ((off_t)rand() * 128) % (config->file_size_in_bytes - config->access_size_in_bytes); - lseek_or_die(state->fd, random_offset, SEEK_CUR); - state->last_file_offset = random_offset; - return; - } - } -} - -/** Reset all state values before the run. */ -static void prepare_run(const benchmark_config_t *config, benchmark_state_t *state) -{ - if (config->use_o_direct) - state->fd = open_or_die(config->filepath, O_RDWR | O_DIRECT, 0644); - else - state->fd = open_or_die(config->filepath, O_RDWR, 0644); - if (config->restrict_free_ram_to != 0) - allocate_memory_until(config->restrict_free_ram_to/1024); - init_memory_position(config, &state->last_mem_offset); - init_file_position(config, state); -} - -/** Choose the next memory position after each io-op according to the access pattern. */ -static inline void pick_next_mem_position(const benchmark_config_t *config, benchmark_state_t *state) -{ - switch (config->access_pattern_in_memory) - { - case ACCESS_PATTERN_CONST: - /* After one io-op the pointer does not get moved like the fd-state for the file */ - return; - case ACCESS_PATTERN_SEQUENTIAL: - { - state->last_mem_offset += config->access_size_in_bytes; - return; - } - case ACCESS_PATTERN_RANDOM: - state->last_mem_offset = ((size_t)rand() * 128) % (config->memory_buffer_in_bytes - config->access_size_in_bytes); - return; - } -} - -/** Choose the next file position after each io-op according to the access pattern */ -static inline void pick_next_file_position(const benchmark_config_t *config, benchmark_state_t *state) -{ - switch (config->access_pattern_in_file) - { - case ACCESS_PATTERN_CONST: - lseek_or_die(state->fd, 0, SEEK_SET); - return; - case ACCESS_PATTERN_SEQUENTIAL: - { - state->last_file_offset = state->last_file_offset + config->access_size_in_bytes; - /* we don't have to lseek since the pointer moves naturally */ - return; - } - case ACCESS_PATTERN_RANDOM: - { - // TODO: Refactor align.... - size_t new_file_pos = ((size_t)rand() * 128) % (config->file_size_in_bytes - config->access_size_in_bytes); - lseek_or_die(state->fd, new_file_pos, SEEK_SET); - state->last_file_offset = new_file_pos; - return; - } - } -} - -/** Extracts the number of seconds from a struct timespec defined by time.h */ -static inline double timespec_to_double(const timespec_t *time) -{ - return time->tv_sec + 0.001 * 0.001 * 0.001 * time->tv_nsec; -} - -/** Update the tracked values after each io-operation */ -static double get_duration(const timespec_t *start, const timespec_t *end) -{ - return timespec_to_double(end) - timespec_to_double(start); -} - -static void do_reread_if_needed(const benchmark_config_t *config, benchmark_state_t *state) { - if (!config->do_reread) - return; - state->io_op(state->fd, state->buffer, config->access_size_in_bytes); - /* Seek back so that we read it twice */ - lseek_or_die(state->fd, state->last_file_offset, SEEK_SET); -} - -/** The actual benchmark function. - * - * After preparing, it gets the time before, does the io-op and then gets the time afterwards and updates it. - */ -static void do_benchmark(const benchmark_config_t *config, benchmark_state_t *state, benchmark_results_t *results) -{ - timespec_t start, end; - int res; - prepare_run(config, state); - for (size_t i = 0; i < config->number_of_io_op_tests; ++i) - { - do_reread_if_needed(config, state); - clock_gettime(CLOCK_MONOTONIC, &start); - res = state->io_op(state->fd, state->buffer, config->access_size_in_bytes); - clock_gettime(CLOCK_MONOTONIC, &end); - io_op_worked_or_die(res, config->is_read_operation); - pick_next_mem_position(config, state); - pick_next_file_position(config, state); - results->durations[i] = get_duration(&start, &end); - } -} - -static void do_cleanup(const benchmark_config_t *config, benchmark_state_t *state) { - close_or_die(state->fd); - if (config->delete_afterwards) { - remove_or_die(config->filepath); - } - free(state->buffer); -} - -/** Wrapper-function. - * - * The only non-static function. Creates the state and wraps the benchmark. - */ -benchmark_results_t *benchmark_file(const benchmark_config_t *config) -{ - benchmark_state_t state; - benchmark_results_t *results = malloc_or_die(sizeof(benchmark_results_t)); - - if (config->drop_cache_first) - drop_page_cache(); - init_state(config, &state); - init_file(config, &state); - init_results(config, results); - - do_benchmark(config, &state, results); - - do_cleanup(config, &state); - return results; -} - diff --git a/blackheap-benchmark/src/io_benchmark.h b/blackheap-benchmark/src/io_benchmark.h deleted file mode 100644 index 06a76e4..0000000 --- a/blackheap-benchmark/src/io_benchmark.h +++ /dev/null @@ -1,109 +0,0 @@ -#ifndef IO_BENCHMARK_IO_BENCHMARK_H -#define IO_BENCHMARK_IO_BENCHMARK_H - -#include -#include -#include - -#include "helper.h" - -/** All possible access patterns. */ -typedef enum access_pattern_t -{ - ACCESS_PATTERN_CONST = 0, /**< always read at the same place */ - ACCESS_PATTERN_SEQUENTIAL = 1, /**< read sequentially through the file (like an intuitive read) */ - ACCESS_PATTERN_RANDOM = 2, /**< go to a random position after every read */ -} access_pattern_t; - -/** All possible configuration options for a benchmark run - * This will get parsed from the command line options. - */ -typedef struct benchmark_config_t -{ - /**< The path to the file from which will be read from or written to */ - const char *filepath; - - /**< The size of the memory buffer to/from which the information will be written/read to*/ - const size_t memory_buffer_in_bytes; - - /**< The size of the file specified by filepath. Ignored is prepare_file_size is set to false. */ - const size_t file_size_in_bytes; - - /**< The size of each I/O request. */ - const size_t access_size_in_bytes; - - /**< The number of tests done for this execution. */ - const size_t number_of_io_op_tests; - - /**< Which access pattern should be used aka how the memory pointer should be moved.*/ - const access_pattern_t access_pattern_in_memory; - - /**< Which access pattern should be used aka how the file pointer should be seeked.*/ - const access_pattern_t access_pattern_in_file; - - /**< Whether the benchmaked I/O-operation is read or write. */ - const bool is_read_operation; - - /** Whether the file should be bloated up to file_size_in_bytes. - * - * In most cases, this should be true. - * The only expections are special "files" that can't be made bigger like - * special devices. - */ - const bool prepare_file_size; - - const bool use_o_direct; - - const bool drop_cache_first; - - const bool do_reread; - - const bool delete_afterwards; - - const size_t restrict_free_ram_to; -} benchmark_config_t; - -typedef ssize_t (*io_op_t)(int fd, void *buf, size_t count); - -/** The current state of the program, wrapped into a struct to declutter global state. - * - * In order to not pollute global state we keep our state local to the functions. - * We wrap it all into a struct to not have functions with 10+ parameters. - * - * The state is basically a singleton for each thread, created by the benchmark itself. - */ -typedef struct benchmark_state_t -{ - /**< The memory buffer on which the io-ops read/write from/to */ - void *buffer; - - /**< The file descriptor of the benchmarked file specified by the config struct. */ - int fd; - - /**< The memory offset after the last io-operation, needed to specify the next one according to access pattern. */ - size_t last_mem_offset; - - /**< The file offset after the last io-operation, needed to specify the next one according to access pattern. */ - size_t last_file_offset; - io_op_t io_op; -} benchmark_state_t; - -/** The results returned after the benchmark. - * - * Each test, defined by its starting and end time, is for a single io-operation (i.e. a single read or write). - * No statistical accumulation or means. - */ -typedef struct benchmark_results_t -{ - /**< The number of io-ops measured in this benchmark */ - size_t length; - - /**< An array of durations. The i-th double corresponds to the starting time of the i-th io-operation */ - double *durations; - -} benchmark_results_t; - -typedef struct timespec timespec_t; -benchmark_results_t *benchmark_file(const benchmark_config_t *config); - -#endif //IO_BENCHMARK_IO_BENCHMARK_H diff --git a/blackheap-benchmark/src/main.c b/blackheap-benchmark/src/main.c deleted file mode 100644 index d2b56ad..0000000 --- a/blackheap-benchmark/src/main.c +++ /dev/null @@ -1,22 +0,0 @@ -#include -#include -#include -#include - -#include "io_benchmark.h" -#include "arg_parser.h" -#include "output.h" - -int main(int argc, char **argv) -{ - benchmark_config_t config; - benchmark_results_t *results; - parse_benchmark_arguments(argc, argv, &config); - - results = benchmark_file(&config); - - print_output(&config, results); - - free(results); - return 0; -} diff --git a/blackheap-benchmark/src/output.c b/blackheap-benchmark/src/output.c deleted file mode 100644 index 4301478..0000000 --- a/blackheap-benchmark/src/output.c +++ /dev/null @@ -1,61 +0,0 @@ -// -// Created by lquenti on 02.12.21 -// - - -#include -#include - -#include "output.h" - -static inline char *access_pattern_to_str(access_pattern_t pat) -{ - switch (pat) - { - case ACCESS_PATTERN_CONST: - return "const"; - case ACCESS_PATTERN_SEQUENTIAL: - return "seq"; - case ACCESS_PATTERN_RANDOM: - return "rnd"; - } - /* This should never happen */ - __builtin_unreachable(); -} - -static void print_config(const benchmark_config_t *config) -{ - fprintf(stdout, "\"%s\": \"%s\",\n", "filepath", config->filepath); - fprintf(stdout, "\"%s\": %zu,\n", "repeats", config->number_of_io_op_tests); - fprintf(stdout, "\"%s\": %zu,\n", "memory_buffer_in_bytes", config->memory_buffer_in_bytes); - fprintf(stdout, "\"%s\": %zu,\n", "file_size_in_bytes", config->file_size_in_bytes); - fprintf(stdout, "\"%s\": %zu,\n", "access_size_in_bytes", config->access_size_in_bytes); - fprintf(stdout, "\"%s\": \"%s\",\n", "access_pattern_in_memory", access_pattern_to_str(config->access_pattern_in_memory)); - fprintf(stdout, "\"%s\": \"%s\",\n", "access_pattern_in_file", access_pattern_to_str(config->access_pattern_in_file)); - fprintf(stdout, "\"%s\": \"%s\",\n", "io_operation", config->is_read_operation ? "read" : "write"); - fprintf(stdout, "\"%s\": %s,\n", "prepare_file_size", config->prepare_file_size ? "true" : "false"); - fprintf(stdout, "\"%s\": %zu,\n", "restricted_ram_in_bytes", config->restrict_free_ram_to); - fprintf(stdout, "\"%s\": %s,\n", "use_o_direct", config->use_o_direct ? "true" : "false"); - fprintf(stdout, "\"%s\": %s,\n", "drop_cache_first", config->drop_cache_first ? "true" : "false"); - fprintf(stdout, "\"%s\": %s,\n", "reread_every_block", config->do_reread ? "true" : "false"); - fprintf(stdout, "\"%s\": %s,\n", "delete_afterwards", config->delete_afterwards ? "true" : "false"); -} - -static void print_results(const benchmark_results_t *results) -{ - fprintf(stdout, "\"durations\": [\n"); - for (size_t i = 0; i < results->length; ++i) - { - fprintf(stdout, "\t%.17g%s\n", results->durations[i], (i == results->length - 1) ? "" : ","); - } - fprintf(stdout, "]\n"); -} - -void print_output(const benchmark_config_t *config, const benchmark_results_t *results) -{ - fprintf(stdout, "{\n"); - print_config(config); - print_results(results); - fprintf(stdout, "}\n"); -} - diff --git a/blackheap-benchmark/src/output.h b/blackheap-benchmark/src/output.h deleted file mode 100644 index 32a1ac8..0000000 --- a/blackheap-benchmark/src/output.h +++ /dev/null @@ -1,7 +0,0 @@ -#ifndef IO_BENCHMARK_OUTPUT_H -#define IO_BENCHMARK_OUTPUT_H -#include "io_benchmark.h" - -void print_output(const benchmark_config_t *config, const benchmark_results_t *results); - -#endif //IO_BENCHMARK_OUTPUT_H diff --git a/blackheap-benchmarker/Cargo.toml b/blackheap-benchmarker/Cargo.toml new file mode 100644 index 0000000..b7d625d --- /dev/null +++ b/blackheap-benchmarker/Cargo.toml @@ -0,0 +1,10 @@ +[package] +name = "blackheap-benchmarker" +version = "0.1.0" +edition = "2021" + +[dependencies] +libc = "0.2" + +[build-dependencies] +cc = "1.0" diff --git a/blackheap-benchmarker/build.rs b/blackheap-benchmarker/build.rs new file mode 100644 index 0000000..ee982ea --- /dev/null +++ b/blackheap-benchmarker/build.rs @@ -0,0 +1,5 @@ +fn main() { + cc::Build::new() + .file("src/c_code/benchmarker_internal.c") + .compile("c_benchmarker"); +} diff --git a/blackheap-benchmarker/regenerate_types.sh b/blackheap-benchmarker/regenerate_types.sh new file mode 100755 index 0000000..3926253 --- /dev/null +++ b/blackheap-benchmarker/regenerate_types.sh @@ -0,0 +1,20 @@ +#!/bin/bash + +# This script generates Rust types for a benchmarker from a C header file using Bindgen. + +SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd ) + +if ! command -v bindgen &> /dev/null; then + echo "Error: Bindgen is not found in your PATH." + echo "Please install bindgen by running: \$ cargo install bindgen-cli" + exit 1 +fi + +bindgen ${SCRIPT_DIR}/src/c_code/benchmarker.h -o ${SCRIPT_DIR}/src/c_code/benchmarker.rs + +if [ $? -eq 0 ]; then + echo "Bindgen completed successfully. Rust types generated in src/c_code/benchmarker.rs." +else + echo "Error: Bindgen encountered an issue while generating Rust types." + exit 1 +fi diff --git a/blackheap-benchmarker/src/c_code/benchmarker.h b/blackheap-benchmarker/src/c_code/benchmarker.h new file mode 100644 index 0000000..6257a60 --- /dev/null +++ b/blackheap-benchmarker/src/c_code/benchmarker.h @@ -0,0 +1,73 @@ +#ifndef BLACKHEAP_BENCHMARKER_BENCHMARER_H +#define BLACKHEAP_BENCHMARKER_BENCHMARER_H + + +#define MEMINFO "/proc/meminfo" + +/* https://www.kernel.org/doc/Documentation/sysctl/vm.txt */ +#define DROP_PAGE_CACHE "/proc/sys/vm/drop_caches" + +#include +#include + +/* All possible access patterns */ +enum access_pattern { + ACCESS_PATTERN_CONST = 0, + ACCESS_PATTERN_SEQUENTIAL = 1, + ACCESS_PATTERN_RANDOM = 2, +}; + +enum error_codes { + ERROR_CODES_SUCCESS = 0, + + /* Linux operations that failed */ + ERROR_CODES_MALLOC_FAILED = 1, + ERROR_CODES_OPEN_FAILED = 2, + ERROR_CODES_READ_FAILED = 3, + ERROR_CODES_WRITE_FAILED = 4, + ERROR_CODES_LSEEK_FAILED = 5, + ERROR_CODES_FSYNC_FAILED = 6, + ERROR_CODES_FSTAT_FAILED = 7, + ERROR_CODES_IO_OP_FAILED = 8, + ERROR_CODES_REMOVE_FAILED = 9, + + /* Higher level operations */ + ERROR_CODES_DROP_PAGE_CACHE_FAILED_NO_PERMISSIONS = 10, + ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER = 11, + + ERROR_CODES_INCORRECT_FILE_BUFFER_SIZE = 12, +}; + + +struct benchmark_config { + const char *filepath; + const size_t memory_buffer_in_bytes; + const size_t file_size_in_bytes; + const size_t access_size_in_bytes; + const size_t number_of_io_op_tests; + const enum access_pattern access_pattern_in_memory; + const enum access_pattern access_pattern_in_file; + const bool is_read_operation; + /* Whether the file should be bloated up to file_size_in_bytes. + * + * In most cases, this should be true. + * The only expections are special "files" that can't be made bigger like + * special devices. + */ + const bool prepare_file_size; + + /* Note that this requires root */ + const bool drop_cache_first; + const bool do_reread; + const size_t restrict_free_ram_to; +}; + +struct benchmark_results { + enum error_codes res; + size_t length; + double *durations; +}; + +struct benchmark_results benchmark_file(const struct benchmark_config *config); + +#endif diff --git a/blackheap-benchmarker/src/c_code/benchmarker.rs b/blackheap-benchmarker/src/c_code/benchmarker.rs new file mode 100644 index 0000000..4596efa --- /dev/null +++ b/blackheap-benchmarker/src/c_code/benchmarker.rs @@ -0,0 +1,275 @@ +/* automatically generated by rust-bindgen 0.69.4 */ + +pub const MEMINFO: &[u8; 14] = b"/proc/meminfo\0"; +pub const DROP_PAGE_CACHE: &[u8; 25] = b"/proc/sys/vm/drop_caches\0"; +pub const true_: u32 = 1; +pub const false_: u32 = 0; +pub const __bool_true_false_are_defined: u32 = 1; +pub type wchar_t = ::std::os::raw::c_int; +#[repr(C)] +#[repr(align(16))] +#[derive(Debug, Copy, Clone)] +pub struct max_align_t { + pub __clang_max_align_nonce1: ::std::os::raw::c_longlong, + pub __bindgen_padding_0: u64, + pub __clang_max_align_nonce2: u128, +} +#[test] +fn bindgen_test_layout_max_align_t() { + const UNINIT: ::std::mem::MaybeUninit = ::std::mem::MaybeUninit::uninit(); + let ptr = UNINIT.as_ptr(); + assert_eq!( + ::std::mem::size_of::(), + 32usize, + concat!("Size of: ", stringify!(max_align_t)) + ); + assert_eq!( + ::std::mem::align_of::(), + 16usize, + concat!("Alignment of ", stringify!(max_align_t)) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).__clang_max_align_nonce1) as usize - ptr as usize }, + 0usize, + concat!( + "Offset of field: ", + stringify!(max_align_t), + "::", + stringify!(__clang_max_align_nonce1) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).__clang_max_align_nonce2) as usize - ptr as usize }, + 16usize, + concat!( + "Offset of field: ", + stringify!(max_align_t), + "::", + stringify!(__clang_max_align_nonce2) + ) + ); +} +pub const access_pattern_ACCESS_PATTERN_CONST: access_pattern = 0; +pub const access_pattern_ACCESS_PATTERN_SEQUENTIAL: access_pattern = 1; +pub const access_pattern_ACCESS_PATTERN_RANDOM: access_pattern = 2; +pub type access_pattern = ::std::os::raw::c_uint; +pub const error_codes_ERROR_CODES_SUCCESS: error_codes = 0; +pub const error_codes_ERROR_CODES_MALLOC_FAILED: error_codes = 1; +pub const error_codes_ERROR_CODES_OPEN_FAILED: error_codes = 2; +pub const error_codes_ERROR_CODES_READ_FAILED: error_codes = 3; +pub const error_codes_ERROR_CODES_WRITE_FAILED: error_codes = 4; +pub const error_codes_ERROR_CODES_LSEEK_FAILED: error_codes = 5; +pub const error_codes_ERROR_CODES_FSYNC_FAILED: error_codes = 6; +pub const error_codes_ERROR_CODES_FSTAT_FAILED: error_codes = 7; +pub const error_codes_ERROR_CODES_IO_OP_FAILED: error_codes = 8; +pub const error_codes_ERROR_CODES_REMOVE_FAILED: error_codes = 9; +pub const error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_NO_PERMISSIONS: error_codes = 10; +pub const error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER: error_codes = 11; +pub const error_codes_ERROR_CODES_INCORRECT_FILE_BUFFER_SIZE: error_codes = 12; +pub type error_codes = ::std::os::raw::c_uint; +#[repr(C)] +#[derive(Debug, Copy, Clone)] +pub struct benchmark_config { + pub filepath: *const ::std::os::raw::c_char, + pub memory_buffer_in_bytes: usize, + pub file_size_in_bytes: usize, + pub access_size_in_bytes: usize, + pub number_of_io_op_tests: usize, + pub access_pattern_in_memory: access_pattern, + pub access_pattern_in_file: access_pattern, + pub is_read_operation: bool, + pub prepare_file_size: bool, + pub drop_cache_first: bool, + pub do_reread: bool, + pub restrict_free_ram_to: usize, +} +#[test] +fn bindgen_test_layout_benchmark_config() { + const UNINIT: ::std::mem::MaybeUninit = ::std::mem::MaybeUninit::uninit(); + let ptr = UNINIT.as_ptr(); + assert_eq!( + ::std::mem::size_of::(), + 64usize, + concat!("Size of: ", stringify!(benchmark_config)) + ); + assert_eq!( + ::std::mem::align_of::(), + 8usize, + concat!("Alignment of ", stringify!(benchmark_config)) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).filepath) as usize - ptr as usize }, + 0usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(filepath) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).memory_buffer_in_bytes) as usize - ptr as usize }, + 8usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(memory_buffer_in_bytes) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).file_size_in_bytes) as usize - ptr as usize }, + 16usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(file_size_in_bytes) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).access_size_in_bytes) as usize - ptr as usize }, + 24usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(access_size_in_bytes) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).number_of_io_op_tests) as usize - ptr as usize }, + 32usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(number_of_io_op_tests) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).access_pattern_in_memory) as usize - ptr as usize }, + 40usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(access_pattern_in_memory) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).access_pattern_in_file) as usize - ptr as usize }, + 44usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(access_pattern_in_file) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).is_read_operation) as usize - ptr as usize }, + 48usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(is_read_operation) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).prepare_file_size) as usize - ptr as usize }, + 49usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(prepare_file_size) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).drop_cache_first) as usize - ptr as usize }, + 50usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(drop_cache_first) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).do_reread) as usize - ptr as usize }, + 51usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(do_reread) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).restrict_free_ram_to) as usize - ptr as usize }, + 56usize, + concat!( + "Offset of field: ", + stringify!(benchmark_config), + "::", + stringify!(restrict_free_ram_to) + ) + ); +} +#[repr(C)] +#[derive(Debug, Copy, Clone)] +pub struct benchmark_results { + pub res: error_codes, + pub length: usize, + pub durations: *mut f64, +} +#[test] +fn bindgen_test_layout_benchmark_results() { + const UNINIT: ::std::mem::MaybeUninit = ::std::mem::MaybeUninit::uninit(); + let ptr = UNINIT.as_ptr(); + assert_eq!( + ::std::mem::size_of::(), + 24usize, + concat!("Size of: ", stringify!(benchmark_results)) + ); + assert_eq!( + ::std::mem::align_of::(), + 8usize, + concat!("Alignment of ", stringify!(benchmark_results)) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).res) as usize - ptr as usize }, + 0usize, + concat!( + "Offset of field: ", + stringify!(benchmark_results), + "::", + stringify!(res) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).length) as usize - ptr as usize }, + 8usize, + concat!( + "Offset of field: ", + stringify!(benchmark_results), + "::", + stringify!(length) + ) + ); + assert_eq!( + unsafe { ::std::ptr::addr_of!((*ptr).durations) as usize - ptr as usize }, + 16usize, + concat!( + "Offset of field: ", + stringify!(benchmark_results), + "::", + stringify!(durations) + ) + ); +} +extern "C" { + pub fn benchmark_file(config: *const benchmark_config) -> benchmark_results; +} diff --git a/blackheap-benchmarker/src/c_code/benchmarker_internal.c b/blackheap-benchmarker/src/c_code/benchmarker_internal.c new file mode 100644 index 0000000..4c7618e --- /dev/null +++ b/blackheap-benchmarker/src/c_code/benchmarker_internal.c @@ -0,0 +1,459 @@ +#include"./benchmarker_internal.h" +#include "benchmarker.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +enum error_codes drop_page_cache() { + /* sync first */ + sync(); + + int fd = open(DROP_PAGE_CACHE, O_WRONLY); + if (fd == -1) { + if (errno == EACCES) { + fprintf(stderr, "In order to drop the page cache, we need permissions to open" DROP_PAGE_CACHE "\n"); + return ERROR_CODES_DROP_PAGE_CACHE_FAILED_NO_PERMISSIONS; + } else { + fprintf(stderr, "Unknown Error while opening" DROP_PAGE_CACHE ".\nError: %s\n", strerror(errno)); + return ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER; + } + } + + char magic_value = '3'; + ssize_t res = write(fd, &magic_value, sizeof(char)); + if (res == -1) { + fprintf(stderr, "Dropping the page cache failed. The write was not successful.\nError: %s\n", strerror(errno)); + return ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER; + } + + /* in case the OS does it non-blockingly */ + sleep(5); + + close(fd); + return ERROR_CODES_SUCCESS; +} + +enum error_codes init_state(const struct benchmark_config *config, struct benchmark_state *state) { + void *ptr; + + ptr = malloc(config->memory_buffer_in_bytes); + if (ptr == NULL) { + fprintf(stderr, "Mallocing the big memory buffer of size %zu failed\n", config->memory_buffer_in_bytes); + return ERROR_CODES_MALLOC_FAILED; + } + /* enforce that the buffer actually exists */ + memset(ptr, '1', (unsigned long)config->memory_buffer_in_bytes); + state->buffer = ptr; + + state->last_mem_offset = 0; + state->last_file_offset = 0; + + if (config->is_read_operation) { + state->io_op = read; + } else { + /* just casting away the const for the void pointer */ + state->io_op = (ssize_t (*)(int, void *, size_t))write; + } + + return ERROR_CODES_SUCCESS; +} + +enum error_codes init_file(const struct benchmark_config *config, struct benchmark_state *state) { + /* is it externally managed? */ + if (!config->prepare_file_size) { + return ERROR_CODES_SUCCESS; + } + + /* try to open it */ + state->fd = open(config->filepath, O_CREAT | O_RDWR, 0644); + if (state->fd == -1) { + fprintf(stderr, "Error opening \"%s\".\nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_OPEN_FAILED; + } + + /* Does it already have the correct size */ + struct stat st; + int res = fstat(state->fd, &st); + close(state->fd); + if (res == -1) { + fprintf(stderr, "Error checking file size of %s\nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_FSTAT_FAILED; + } + if ((size_t)st.st_size == config->file_size_in_bytes) { + return ERROR_CODES_SUCCESS; + } + + /* If not, we first truncate it to zero */ + state->fd = open(config->filepath, O_RDWR | O_TRUNC, 0644); + if (state->fd == -1) { + fprintf(stderr, "Error opening \"%s\".\nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_OPEN_FAILED; + } + + /* 64k is a good write size (if our buffer is big enough) */ + size_t block_size = 64*1024; + if (block_size > config->memory_buffer_in_bytes) { + block_size = config->memory_buffer_in_bytes; + } + + size_t bytes_written = 0; + ssize_t write_result; + + /* Fill bytes with 1s */ + while (bytes_written < config->file_size_in_bytes) { + size_t bytes_to_write = config->file_size_in_bytes - bytes_written; + if (bytes_to_write > block_size) { + bytes_to_write = block_size; + } + + write_result = write(state->fd, state->buffer, bytes_to_write); + if (write_result == -1) { + fprintf(stderr, "Failed to write to \"%s\"\nError: %s\n", config->filepath, strerror(errno)); + close(state->fd); + return ERROR_CODES_WRITE_FAILED; + } + bytes_written += write_result; + } + + /* Check whether it worked */ + if (fsync(state->fd) == -1) { + fprintf(stderr, "Failed to flush \"%s\" to disk.\nError: %s\n", config->filepath, strerror(errno)); + close(state->fd); + return ERROR_CODES_FSYNC_FAILED; + } + + if (fstat(state->fd, &st) == -1) { + fprintf(stderr, "Error checking file size of %s\nError: %s\n", config->filepath, strerror(errno)); + close(state->fd); + return ERROR_CODES_FSTAT_FAILED; + } + + close(state->fd); + + if ((long long)st.st_size != (long long)config->file_size_in_bytes) { + fprintf( + stderr, + "Incorrect file size after filling \"%s\". Expected: %zu Actual: %lld\n", + config->filepath, + config->file_size_in_bytes, + (long long)st.st_size + ); + return ERROR_CODES_INCORRECT_FILE_BUFFER_SIZE; + } + + return ERROR_CODES_SUCCESS; +} + + +enum error_codes init_results(const struct benchmark_config *config, struct benchmark_results *results) { + results->res = ERROR_CODES_SUCCESS; + results->length = config->number_of_io_op_tests; + + results->durations = malloc(sizeof(double) * config->number_of_io_op_tests); + return (results->durations == NULL) ? ERROR_CODES_MALLOC_FAILED : ERROR_CODES_SUCCESS; +} + +long parse_from_meminfo(char *key) { + long res = -1; + size_t keylen = strlen(key); + + FILE *fp = fopen(MEMINFO, "r"); + if (!fp) { + perror("Failed to open MEMINFO"); + return res; + } + + char buf[100]; + while (fgets(buf, sizeof(buf), fp)) { + + /* is it not out match? */ + if (strncmp(buf, key, keylen) != 0) { + continue; + } + printf("%s\n", buf); + + /* It is out match. */ + char *colon = strchr(buf, ':'); + if (colon) { + res = atol(colon+1); + break; + } + } + + fclose(fp); + return res; +} + +size_t get_available_mem_kib() { + long free = parse_from_meminfo("MemFree"); + long cached = parse_from_meminfo("Cached"); + long buffers = parse_from_meminfo("Buffers"); + + /* Log if any of them failed... */ + if (free == -1) { + fprintf(stderr, "Reading \"MemFree\" from /proc/meminfo failed..."); + return -1; + } + if (cached == -1) { + fprintf(stderr, "Reading \"Cached\" from /proc/meminfo failed..."); + return -1; + } + if (buffers == -1) { + fprintf(stderr, "Reading \"Buffers\" from /proc/meminfo failed..."); + return -1; + } + + return free+cached+buffers; +} + +/* Note that the callee has to free if it succeeded */ +struct allocation_result allocate_memory_until(size_t space_left_in_kib) { + struct allocation_result result; + result.pointers = NULL; + result.length = 0; + + bool was_successful = true; + + size_t current_available = get_available_mem_kib(); + while (current_available > space_left_in_kib) { + size_t delta = current_available - space_left_in_kib; + size_t n = (delta < 128 ? delta : 128) * 1024; + + void *p = malloc(n); + if (!p) { + fprintf(stderr, "Mallocing %zu bytes to restrict the memory failed. Currently still available: %zu KiB\n", n, current_available); + was_successful = false; + break; + } + + /* Ensure the memory is allocated */ + memset(p, '1', n); + + /* add to ptrs */ + void **new_pointers = realloc(result.pointers, (result.length + 1) * sizeof(void *)); + if (!new_pointers) { + fprintf(stderr, "Reallocating pointers array failed. Current length: %zu\n", result.length); + /* free the last allocation */ + free(p); + break; + } + + result.pointers = new_pointers; + result.pointers[result.length] = p; + result.length++; + + current_available = get_available_mem_kib(); + } + + /* If it failed, we will clean up... */ + if (!was_successful) { + for (ssize_t i=0; iio_op(state->fd, state->buffer, config->access_size_in_bytes); + if (res == -1) { + fprintf(stderr, "Failed to write to \"%s\"\nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_WRITE_FAILED; + } + + /* Seek back so that we read it twice */ + off_t seek_res = lseek(state->fd, state->last_file_offset, SEEK_SET); + if (seek_res == -1) { + fprintf(stderr, "Failed to seek \"%s\" to %zu \nError: %s\n", config->filepath, state->last_file_offset, strerror(errno)); + return ERROR_CODES_LSEEK_FAILED; + } + + return ERROR_CODES_SUCCESS; +} + +double timespec_to_double(const struct timespec *time) { + return time->tv_sec + 0.001 * 0.001 * 0.001 * time->tv_nsec; +} + +void pick_next_mem_position(const struct benchmark_config *config, struct benchmark_state *state) { + switch (config->access_pattern_in_memory) { + case ACCESS_PATTERN_CONST: + /* After one io-op the pointer does not get moved like the fd-state for the file */ + return; + case ACCESS_PATTERN_SEQUENTIAL: + state->last_mem_offset += config->access_size_in_bytes; + + /* Check if we have to wrap */ + if (state->last_mem_offset + config->access_size_in_bytes > config->memory_buffer_in_bytes) { + state->last_mem_offset = 0; + } + return; + case ACCESS_PATTERN_RANDOM: + state->last_mem_offset = ((size_t)rand() * 128) % (config->memory_buffer_in_bytes - config->access_size_in_bytes); + return; + } +} + +enum error_codes pick_next_file_position(const struct benchmark_config *config, struct benchmark_state *state) { + switch (config->access_pattern_in_file) { + case ACCESS_PATTERN_CONST: { + /* Update file descriptor */ + off_t new_offset = lseek(state->fd, 0, SEEK_SET); + if (new_offset == -1) { + fprintf(stderr, "Failed to seek \"%s\" to 0. \nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_LSEEK_FAILED; + } + } + break; + case ACCESS_PATTERN_SEQUENTIAL: { + /* update state */ + state->last_file_offset += config->access_size_in_bytes; + + /* Check if we have to wrap */ + if (state->last_file_offset + config->access_size_in_bytes > config->file_size_in_bytes) { + /* Lets start at zero again */ + state->last_file_offset = 0; + + off_t new_offset = lseek(state->fd, 0, SEEK_SET); + if (new_offset == -1) { + fprintf(stderr, "Failed to seek \"%s\" to 0. \nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_LSEEK_FAILED; + } + } + } + break; + case ACCESS_PATTERN_RANDOM: { + size_t new_file_pos = ((size_t)rand() * 128) % (config->file_size_in_bytes - config->access_size_in_bytes); + + /* Update state */ + state->last_file_offset = new_file_pos; + + /* Update file descriptor */ + off_t new_offset = lseek(state->fd, new_file_pos, SEEK_SET); + if (new_offset == -1) { + fprintf(stderr, "Failed to seek \"%s\" to %zu. \nError: %s\n", config->filepath, (size_t)new_offset, strerror(errno)); + return ERROR_CODES_LSEEK_FAILED; + } + } + break; + } + return ERROR_CODES_SUCCESS; +} + +enum error_codes do_benchmark(const struct benchmark_config *config, struct benchmark_state *state, struct benchmark_results *results) { + struct timespec start, end; + int res; + enum error_codes ret = ERROR_CODES_SUCCESS; + struct allocation_result mallocs; + + /* Open fd (closed by cleanup) */ + state->fd = open(config->filepath, O_RDWR, 0644); + if (state->fd == -1) { + fprintf(stderr, "Error opening \"%s\".\nError: %s\n", config->filepath, strerror(errno)); + return ERROR_CODES_OPEN_FAILED; + } + + /* restrict memory if configured */ + if (config->restrict_free_ram_to != 0) { + mallocs = allocate_memory_until(config->restrict_free_ram_to/1024); + if (mallocs.length == -1) { + return ERROR_CODES_MALLOC_FAILED; + } + } + + for (size_t i=0; inumber_of_io_op_tests; ++i) { + if (config->do_reread) { + ret = reread(config, state); + if (ret != ERROR_CODES_SUCCESS) { + goto cleanup_do_benchmark; + } + } + + /* Do the operation */ + clock_gettime(CLOCK_MONOTONIC, &start); + res = state->io_op(state->fd, state->buffer, config->access_size_in_bytes); + clock_gettime(CLOCK_MONOTONIC, &end); + + + /* did it work? */ + if (res != -1) { + results->durations[i] = timespec_to_double(&end) - timespec_to_double(&start); + } else { + results->durations[i] = -1.0; + } + + /* update offsets */ + pick_next_mem_position(config, state); + ret = pick_next_file_position(config, state); + if (ret != ERROR_CODES_SUCCESS) { + goto cleanup_do_benchmark; + } + } + +cleanup_do_benchmark: + if (config->restrict_free_ram_to != 0) { + for (ssize_t i=0; ifd); + free(state->buffer); +} + +struct benchmark_results benchmark_file(const struct benchmark_config *config) { + struct benchmark_state state; + struct benchmark_results results; + results.res = ERROR_CODES_SUCCESS; + + /* init randomness */ + srand((unsigned int)time(NULL)); + + /* Drop page cache if set (note that this requires root) */ + if (config->drop_cache_first) { + results.res = drop_page_cache(); + } + + /* Init memory buffer and other state */ + if (results.res == ERROR_CODES_SUCCESS) { + results.res = init_state(config, &state); + } + + /* init file buffer */ + if (results.res == ERROR_CODES_SUCCESS) { + results.res = init_file(config, &state); + } + + /* Init results array */ + if (results.res == ERROR_CODES_SUCCESS) { + results.res = init_results(config, &results); + } + + /* Do the benchmark! */ + if (results.res == ERROR_CODES_SUCCESS) { + do_benchmark(config, &state, &results); + } + + /* cleanup */ + do_cleanup(&state); + + return results; +} diff --git a/blackheap-benchmarker/src/c_code/benchmarker_internal.h b/blackheap-benchmarker/src/c_code/benchmarker_internal.h new file mode 100644 index 0000000..ac8ac5d --- /dev/null +++ b/blackheap-benchmarker/src/c_code/benchmarker_internal.h @@ -0,0 +1,43 @@ +#ifndef BLACKHEAP_BENCHMARKER_BENCHMARER_INTERNAL_H +#define BLACKHEAP_BENCHMARKER_BENCHMARER_INTERNAL_H + +#include +#include"./benchmarker.h" + +struct benchmark_state { + void *buffer; + int fd; + size_t last_mem_offset; + size_t last_file_offset; + ssize_t (*io_op)(int fd, void *buf, size_t count); +}; + +struct allocation_result { + void **pointers; + ssize_t length; +}; + +/* init */ +enum error_codes drop_page_cache(); +enum error_codes init_state(const struct benchmark_config *config, struct benchmark_state *state); +enum error_codes init_file(const struct benchmark_config *config, struct benchmark_state *state); +enum error_codes init_results(const struct benchmark_config *config, struct benchmark_results *results); + +/* Benchmarking helpers */ +long parse_from_meminfo(char *key); +size_t get_available_mem_kib(); +struct allocation_result allocate_memory_until(size_t space_left_in_kib); +enum error_codes reread(const struct benchmark_config *config, const struct benchmark_state *state); +double timespec_to_double(const struct timespec *time); +void pick_next_mem_position(const struct benchmark_config *config, struct benchmark_state *state); +enum error_codes pick_next_file_position(const struct benchmark_config *config, struct benchmark_state *state); + +/* Benchmarking function */ +enum error_codes do_benchmark(const struct benchmark_config *config, struct benchmark_state *state, struct benchmark_results *results); + + + +/* do_cleanup is best effort */ +void do_cleanup(struct benchmark_state *state); + +#endif diff --git a/blackheap-benchmarker/src/c_code/mod.rs b/blackheap-benchmarker/src/c_code/mod.rs new file mode 100644 index 0000000..51431c8 --- /dev/null +++ b/blackheap-benchmarker/src/c_code/mod.rs @@ -0,0 +1,7 @@ +// needed for autogenerated code by bindgen +#![allow(non_snake_case)] +#![allow(non_upper_case_globals)] +#![allow(non_camel_case_types)] +#![allow(dead_code)] + +pub mod benchmarker; diff --git a/blackheap-benchmarker/src/c_code/sanitizer_tests/.gitignore b/blackheap-benchmarker/src/c_code/sanitizer_tests/.gitignore new file mode 100644 index 0000000..b883f1f --- /dev/null +++ b/blackheap-benchmarker/src/c_code/sanitizer_tests/.gitignore @@ -0,0 +1 @@ +*.exe diff --git a/blackheap-benchmarker/src/c_code/sanitizer_tests/Makefile b/blackheap-benchmarker/src/c_code/sanitizer_tests/Makefile new file mode 100644 index 0000000..36e1d2c --- /dev/null +++ b/blackheap-benchmarker/src/c_code/sanitizer_tests/Makefile @@ -0,0 +1,22 @@ +all: clean build_asan build_ubsan + +clean: + rm *.exe + +build_asan: + clang -Wall -Wextra -fsanitize=address -g san_test.c ../benchmarker_internal.c -o benchmark_test_asan.exe + +build_ubsan: + clang -Wall -Wextra -fsanitize=undefined -g san_test.c ../benchmarker_internal.c -o benchmark_test_ubsan.exe + +run: run_asan run_ubsan + +run_asan: build_asan + echo "Running with AddressSanitizer (ASan)" + ./benchmark_test_asan.exe + +run_ubsan: build_ubsan + echo "Running with UndefinedBehaviorSanitizer (UBSan)" + ./benchmark_test_ubsan.exe + +.PHONY: all clean build_asan build_ubsan run run_asan run_ubsan diff --git a/blackheap-benchmarker/src/c_code/sanitizer_tests/san_test.c b/blackheap-benchmarker/src/c_code/sanitizer_tests/san_test.c new file mode 100644 index 0000000..76ae5a3 --- /dev/null +++ b/blackheap-benchmarker/src/c_code/sanitizer_tests/san_test.c @@ -0,0 +1,121 @@ +#include "../benchmarker.h" +#include +#include + +void run_benchmark(struct benchmark_config config, const char *description) { + printf("Running benchmark: %s\n", description); + struct benchmark_results results = benchmark_file(&config); + + if (results.res == ERROR_CODES_SUCCESS) { + printf("Benchmark completed successfully.\n"); + printf("Results length: %zu\n", results.length); + /* Print a few result durations */ + for (size_t i = 0; i < results.length && i < 3; ++i) { + printf("Duration for operation %zu: %f seconds\n", i, results.durations[i]); + } + } else { + printf("Benchmark failed with error code: %d\n", results.res); + } + + if (results.durations != NULL) { + free(results.durations); + } + printf("\n"); +} + +int main() { + run_benchmark((struct benchmark_config){ + .filepath = "/tmp/test_file.bin", + .memory_buffer_in_bytes = 1024, + .file_size_in_bytes = 1024 * 10, + .access_size_in_bytes = 128, + .number_of_io_op_tests = 10, + .access_pattern_in_memory = ACCESS_PATTERN_SEQUENTIAL, + .access_pattern_in_file = ACCESS_PATTERN_SEQUENTIAL, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Simple Test"); + + run_benchmark((struct benchmark_config){ + .filepath = "/tmp/test_file.bin", + .memory_buffer_in_bytes = 1024 * 1024 * 512, // 512MB + .file_size_in_bytes = 1024 * 1024 * 1024, // 1GB + .access_size_in_bytes = 1024 * 1024 * 10, // 10MB + .number_of_io_op_tests = 10, + .access_pattern_in_memory = ACCESS_PATTERN_SEQUENTIAL, + .access_pattern_in_file = ACCESS_PATTERN_SEQUENTIAL, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Handle Large Files"); + + run_benchmark((struct benchmark_config){ + .filepath = "/tmp/test_file.bin", + .memory_buffer_in_bytes = 1024 * 512, // 512KB + .file_size_in_bytes = 1024 * 512, // 512KB + .access_size_in_bytes = 1024 * 300, // 300KB + .number_of_io_op_tests = 10, + .access_pattern_in_memory = ACCESS_PATTERN_SEQUENTIAL, + .access_pattern_in_file = ACCESS_PATTERN_SEQUENTIAL, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Can it handle wrapping (seq)"); + + run_benchmark((struct benchmark_config){ + .filepath = "/tmp/test_file.bin", + .memory_buffer_in_bytes = 1024 * 512, // 512KB + .file_size_in_bytes = 1024 * 512, // 512KB + .access_size_in_bytes = 1024 * 300, // 300KB + .number_of_io_op_tests = 10, + .access_pattern_in_memory = ACCESS_PATTERN_RANDOM, + .access_pattern_in_file = ACCESS_PATTERN_RANDOM, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Can it handle wrapping (rnd)"); + + run_benchmark((struct benchmark_config){ + .filepath = "/tmp/test_file.bin", + .memory_buffer_in_bytes = 1024, // 1KB + .file_size_in_bytes = 1024 * 10, // 10KB + .access_size_in_bytes = 1, // 1 byte + .number_of_io_op_tests = 100000, // A lot of accesses + .access_pattern_in_memory = ACCESS_PATTERN_SEQUENTIAL, + .access_pattern_in_file = ACCESS_PATTERN_SEQUENTIAL, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Many access sizes (test asan for leaks)"); + + run_benchmark((struct benchmark_config){ + .filepath = "/dev/shm/test_file.bin", + .memory_buffer_in_bytes = 1024 * 1024, // 1MB + .file_size_in_bytes = 1024 * 1024 * 10, // 10MB + .access_size_in_bytes = 1024 * 10, // 10KB + .number_of_io_op_tests = 100, // Moderate number of accesses + .access_pattern_in_memory = ACCESS_PATTERN_SEQUENTIAL, + .access_pattern_in_file = ACCESS_PATTERN_SEQUENTIAL, + .is_read_operation = true, + .prepare_file_size = true, + .drop_cache_first = false, + .do_reread = false, + .restrict_free_ram_to = 0 + }, "Memory as filesystem with /dev/shm"); + + remove("/tmp/test_file.bin"); + remove("/dev/shm/test_file.bin"); + return 0; +} + diff --git a/blackheap-benchmarker/src/lib.rs b/blackheap-benchmarker/src/lib.rs new file mode 100644 index 0000000..601dea0 --- /dev/null +++ b/blackheap-benchmarker/src/lib.rs @@ -0,0 +1,169 @@ +mod c_code; + +use c_code::benchmarker as b; + +use libc::c_char; +use std::ffi::CString; + +#[derive(Debug, Clone)] +pub enum AccessPattern { + Const, + Sequential, + Random, +} + +impl AccessPattern { + pub fn to_c_code(&self) -> b::access_pattern { + match self { + Self::Const => b::access_pattern_ACCESS_PATTERN_CONST, + Self::Sequential => b::access_pattern_ACCESS_PATTERN_SEQUENTIAL, + Self::Random => b::access_pattern_ACCESS_PATTERN_RANDOM, + } + } + + pub fn from_c_code(n: b::access_pattern) -> Self { + match n { + b::access_pattern_ACCESS_PATTERN_CONST => Self::Const, + b::access_pattern_ACCESS_PATTERN_SEQUENTIAL => Self::Sequential, + b::access_pattern_ACCESS_PATTERN_RANDOM => Self::Random, + _ => { + panic!("Unknown Access Pattern! Probably forgot to update Rust to C logic"); + } + } + } +} + +#[derive(Debug, Clone, PartialEq, Eq)] +pub enum ErrorCodes { + Success, + + /* Linux operations that failed */ + MallocFailed, + OpenFailed, + ReadFailed, + WriteFailed, + LseekFailed, + FsyncFailed, + FstatFailed, + IOOpFailed, + RemoveFailed, + + /* High Level Operations */ + DropPageCacheFailedNoPermissions, + DropPageCacheFailedOther, + IncorrectFileBufferSize, +} + +impl ErrorCodes { + pub fn to_c_code(&self) -> b::error_codes { + match self { + Self::Success => b::error_codes_ERROR_CODES_SUCCESS, + Self::MallocFailed => b::error_codes_ERROR_CODES_MALLOC_FAILED, + Self::OpenFailed => b::error_codes_ERROR_CODES_OPEN_FAILED, + Self::ReadFailed => b::error_codes_ERROR_CODES_READ_FAILED, + Self::WriteFailed => b::error_codes_ERROR_CODES_WRITE_FAILED, + Self::LseekFailed => b::error_codes_ERROR_CODES_LSEEK_FAILED, + Self::FsyncFailed => b::error_codes_ERROR_CODES_FSYNC_FAILED, + Self::FstatFailed => b::error_codes_ERROR_CODES_FSTAT_FAILED, + Self::IOOpFailed => b::error_codes_ERROR_CODES_IO_OP_FAILED, + Self::RemoveFailed => b::error_codes_ERROR_CODES_REMOVE_FAILED, + Self::DropPageCacheFailedNoPermissions => { + b::error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_NO_PERMISSIONS + } + Self::DropPageCacheFailedOther => { + b::error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER + } + Self::IncorrectFileBufferSize => b::error_codes_ERROR_CODES_INCORRECT_FILE_BUFFER_SIZE, + } + } + + pub fn from_c_code(n: b::error_codes) -> Self { + match n { + b::error_codes_ERROR_CODES_SUCCESS => Self::Success, + b::error_codes_ERROR_CODES_MALLOC_FAILED => Self::MallocFailed, + b::error_codes_ERROR_CODES_OPEN_FAILED => Self::OpenFailed, + b::error_codes_ERROR_CODES_READ_FAILED => Self::ReadFailed, + b::error_codes_ERROR_CODES_WRITE_FAILED => Self::WriteFailed, + b::error_codes_ERROR_CODES_LSEEK_FAILED => Self::LseekFailed, + b::error_codes_ERROR_CODES_FSYNC_FAILED => Self::FsyncFailed, + b::error_codes_ERROR_CODES_FSTAT_FAILED => Self::FstatFailed, + b::error_codes_ERROR_CODES_IO_OP_FAILED => Self::IOOpFailed, + b::error_codes_ERROR_CODES_REMOVE_FAILED => Self::RemoveFailed, + b::error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_NO_PERMISSIONS => { + Self::DropPageCacheFailedNoPermissions + } + b::error_codes_ERROR_CODES_DROP_PAGE_CACHE_FAILED_OTHER => { + Self::DropPageCacheFailedOther + } + b::error_codes_ERROR_CODES_INCORRECT_FILE_BUFFER_SIZE => Self::IncorrectFileBufferSize, + _ => panic!("Unknown Error Code! Probably forgot to update Rust to C logic"), + } + } +} + +#[derive(Debug, Clone)] +pub struct BenchmarkConfig { + pub filepath: String, + pub memory_buffer_in_bytes: usize, + pub file_size_in_bytes: usize, + pub access_size_in_bytes: usize, + pub number_of_io_op_tests: usize, + pub access_pattern_in_memory: AccessPattern, + pub access_pattern_in_file: AccessPattern, + pub is_read_operation: bool, + pub prepare_file_size: bool, + pub drop_cache_first: bool, + pub do_reread: bool, + pub restrict_free_ram_to: Option, +} + +impl BenchmarkConfig { + pub fn to_c_code(&self) -> b::benchmark_config { + let filepath_cstr = CString::new(self.filepath.clone()).expect("CString::new failed"); + b::benchmark_config { + filepath: filepath_cstr.into_raw() as *const c_char, + memory_buffer_in_bytes: self.memory_buffer_in_bytes, + file_size_in_bytes: self.file_size_in_bytes, + access_size_in_bytes: self.access_size_in_bytes, + number_of_io_op_tests: self.number_of_io_op_tests, + access_pattern_in_memory: self.access_pattern_in_memory.to_c_code(), + access_pattern_in_file: self.access_pattern_in_file.to_c_code(), + is_read_operation: self.is_read_operation, + prepare_file_size: self.prepare_file_size, + drop_cache_first: self.drop_cache_first, + do_reread: self.do_reread, + restrict_free_ram_to: self.restrict_free_ram_to.unwrap_or(0), + } + } +} + +#[derive(Debug, Clone)] +pub struct BenchmarkResults { + pub res: ErrorCodes, + pub durations: Vec, +} + +impl BenchmarkResults { + unsafe fn from_c_code(c_results: b::benchmark_results) -> Self { + let res = ErrorCodes::from_c_code(c_results.res); + + let durations = if c_results.length > 0 && !c_results.durations.is_null() { + std::slice::from_raw_parts(c_results.durations, c_results.length).to_vec() + } else { + Vec::new() + }; + + libc::free(c_results.durations as *mut libc::c_void); + + BenchmarkResults { res, durations } + } +} + +pub fn benchmark_file(config: &BenchmarkConfig) -> BenchmarkResults { + let c_config = config.to_c_code(); + + unsafe { + let c_results = b::benchmark_file(&c_config); + BenchmarkResults::from_c_code(c_results) + } +} diff --git a/blackheap-frontend/.gitignore b/blackheap-frontend/.gitignore deleted file mode 100644 index 4d29575..0000000 --- a/blackheap-frontend/.gitignore +++ /dev/null @@ -1,23 +0,0 @@ -# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. - -# dependencies -/node_modules -/.pnp -.pnp.js - -# testing -/coverage - -# production -/build - -# misc -.DS_Store -.env.local -.env.development.local -.env.test.local -.env.production.local - -npm-debug.log* -yarn-debug.log* -yarn-error.log* diff --git a/blackheap-frontend/.nvmrc b/blackheap-frontend/.nvmrc deleted file mode 100644 index dac255d..0000000 --- a/blackheap-frontend/.nvmrc +++ /dev/null @@ -1 +0,0 @@ -v16.15.1 diff --git a/blackheap-frontend/.prettierignore b/blackheap-frontend/.prettierignore deleted file mode 100644 index 34a1337..0000000 --- a/blackheap-frontend/.prettierignore +++ /dev/null @@ -1,7 +0,0 @@ -# build stuff -build -node_modules - -# cra eject stuff -config -scripts diff --git a/blackheap-frontend/.prettierrc.json b/blackheap-frontend/.prettierrc.json deleted file mode 100644 index 0967ef4..0000000 --- a/blackheap-frontend/.prettierrc.json +++ /dev/null @@ -1 +0,0 @@ -{} diff --git a/blackheap-frontend/README.md b/blackheap-frontend/README.md deleted file mode 100644 index 5815176..0000000 --- a/blackheap-frontend/README.md +++ /dev/null @@ -1,13 +0,0 @@ -# Blackheap Frontend for Analysis - -To build a single HTML file, use `yarn build`. - -Based on [Create React App](https://create-react-app.dev/) - -## Current libs - -- Typescript -- React + react-router-dom + react-icons (CRA based) -- Tailwind + DaisyUI -- Plotly -- lodash diff --git a/blackheap-frontend/config/env.js b/blackheap-frontend/config/env.js deleted file mode 100644 index ffa7e49..0000000 --- a/blackheap-frontend/config/env.js +++ /dev/null @@ -1,104 +0,0 @@ -'use strict'; - -const fs = require('fs'); -const path = require('path'); -const paths = require('./paths'); - -// Make sure that including paths.js after env.js will read .env variables. -delete require.cache[require.resolve('./paths')]; - -const NODE_ENV = process.env.NODE_ENV; -if (!NODE_ENV) { - throw new Error( - 'The NODE_ENV environment variable is required but was not specified.' - ); -} - -// https://github.com/bkeepers/dotenv#what-other-env-files-can-i-use -const dotenvFiles = [ - `${paths.dotenv}.${NODE_ENV}.local`, - // Don't include `.env.local` for `test` environment - // since normally you expect tests to produce the same - // results for everyone - NODE_ENV !== 'test' && `${paths.dotenv}.local`, - `${paths.dotenv}.${NODE_ENV}`, - paths.dotenv, -].filter(Boolean); - -// Load environment variables from .env* files. Suppress warnings using silent -// if this file is missing. dotenv will never modify any environment variables -// that have already been set. Variable expansion is supported in .env files. -// https://github.com/motdotla/dotenv -// https://github.com/motdotla/dotenv-expand -dotenvFiles.forEach(dotenvFile => { - if (fs.existsSync(dotenvFile)) { - require('dotenv-expand')( - require('dotenv').config({ - path: dotenvFile, - }) - ); - } -}); - -// We support resolving modules according to `NODE_PATH`. -// This lets you use absolute paths in imports inside large monorepos: -// https://github.com/facebook/create-react-app/issues/253. -// It works similar to `NODE_PATH` in Node itself: -// https://nodejs.org/api/modules.html#modules_loading_from_the_global_folders -// Note that unlike in Node, only *relative* paths from `NODE_PATH` are honored. -// Otherwise, we risk importing Node.js core modules into an app instead of webpack shims. -// https://github.com/facebook/create-react-app/issues/1023#issuecomment-265344421 -// We also resolve them to make sure all tools using them work consistently. -const appDirectory = fs.realpathSync(process.cwd()); -process.env.NODE_PATH = (process.env.NODE_PATH || '') - .split(path.delimiter) - .filter(folder => folder && !path.isAbsolute(folder)) - .map(folder => path.resolve(appDirectory, folder)) - .join(path.delimiter); - -// Grab NODE_ENV and REACT_APP_* environment variables and prepare them to be -// injected into the application via DefinePlugin in webpack configuration. -const REACT_APP = /^REACT_APP_/i; - -function getClientEnvironment(publicUrl) { - const raw = Object.keys(process.env) - .filter(key => REACT_APP.test(key)) - .reduce( - (env, key) => { - env[key] = process.env[key]; - return env; - }, - { - // Useful for determining whether we’re running in production mode. - // Most importantly, it switches React into the correct mode. - NODE_ENV: process.env.NODE_ENV || 'development', - // Useful for resolving the correct path to static assets in `public`. - // For example, . - // This should only be used as an escape hatch. Normally you would put - // images into the `src` and `import` them in code to get their paths. - PUBLIC_URL: publicUrl, - // We support configuring the sockjs pathname during development. - // These settings let a developer run multiple simultaneous projects. - // They are used as the connection `hostname`, `pathname` and `port` - // in webpackHotDevClient. They are used as the `sockHost`, `sockPath` - // and `sockPort` options in webpack-dev-server. - WDS_SOCKET_HOST: process.env.WDS_SOCKET_HOST, - WDS_SOCKET_PATH: process.env.WDS_SOCKET_PATH, - WDS_SOCKET_PORT: process.env.WDS_SOCKET_PORT, - // Whether or not react-refresh is enabled. - // It is defined here so it is available in the webpackHotDevClient. - FAST_REFRESH: process.env.FAST_REFRESH !== 'false', - } - ); - // Stringify all values so we can feed into webpack DefinePlugin - const stringified = { - 'process.env': Object.keys(raw).reduce((env, key) => { - env[key] = JSON.stringify(raw[key]); - return env; - }, {}), - }; - - return { raw, stringified }; -} - -module.exports = getClientEnvironment; diff --git a/blackheap-frontend/config/getHttpsConfig.js b/blackheap-frontend/config/getHttpsConfig.js deleted file mode 100644 index 013d493..0000000 --- a/blackheap-frontend/config/getHttpsConfig.js +++ /dev/null @@ -1,66 +0,0 @@ -'use strict'; - -const fs = require('fs'); -const path = require('path'); -const crypto = require('crypto'); -const chalk = require('react-dev-utils/chalk'); -const paths = require('./paths'); - -// Ensure the certificate and key provided are valid and if not -// throw an easy to debug error -function validateKeyAndCerts({ cert, key, keyFile, crtFile }) { - let encrypted; - try { - // publicEncrypt will throw an error with an invalid cert - encrypted = crypto.publicEncrypt(cert, Buffer.from('test')); - } catch (err) { - throw new Error( - `The certificate "${chalk.yellow(crtFile)}" is invalid.\n${err.message}` - ); - } - - try { - // privateDecrypt will throw an error with an invalid key - crypto.privateDecrypt(key, encrypted); - } catch (err) { - throw new Error( - `The certificate key "${chalk.yellow(keyFile)}" is invalid.\n${ - err.message - }` - ); - } -} - -// Read file and throw an error if it doesn't exist -function readEnvFile(file, type) { - if (!fs.existsSync(file)) { - throw new Error( - `You specified ${chalk.cyan( - type - )} in your env, but the file "${chalk.yellow(file)}" can't be found.` - ); - } - return fs.readFileSync(file); -} - -// Get the https config -// Return cert files if provided in env, otherwise just true or false -function getHttpsConfig() { - const { SSL_CRT_FILE, SSL_KEY_FILE, HTTPS } = process.env; - const isHttps = HTTPS === 'true'; - - if (isHttps && SSL_CRT_FILE && SSL_KEY_FILE) { - const crtFile = path.resolve(paths.appPath, SSL_CRT_FILE); - const keyFile = path.resolve(paths.appPath, SSL_KEY_FILE); - const config = { - cert: readEnvFile(crtFile, 'SSL_CRT_FILE'), - key: readEnvFile(keyFile, 'SSL_KEY_FILE'), - }; - - validateKeyAndCerts({ ...config, keyFile, crtFile }); - return config; - } - return isHttps; -} - -module.exports = getHttpsConfig; diff --git a/blackheap-frontend/config/jest/babelTransform.js b/blackheap-frontend/config/jest/babelTransform.js deleted file mode 100644 index 5b391e4..0000000 --- a/blackheap-frontend/config/jest/babelTransform.js +++ /dev/null @@ -1,29 +0,0 @@ -'use strict'; - -const babelJest = require('babel-jest').default; - -const hasJsxRuntime = (() => { - if (process.env.DISABLE_NEW_JSX_TRANSFORM === 'true') { - return false; - } - - try { - require.resolve('react/jsx-runtime'); - return true; - } catch (e) { - return false; - } -})(); - -module.exports = babelJest.createTransformer({ - presets: [ - [ - require.resolve('babel-preset-react-app'), - { - runtime: hasJsxRuntime ? 'automatic' : 'classic', - }, - ], - ], - babelrc: false, - configFile: false, -}); diff --git a/blackheap-frontend/config/jest/cssTransform.js b/blackheap-frontend/config/jest/cssTransform.js deleted file mode 100644 index 8f65114..0000000 --- a/blackheap-frontend/config/jest/cssTransform.js +++ /dev/null @@ -1,14 +0,0 @@ -'use strict'; - -// This is a custom Jest transformer turning style imports into empty objects. -// http://facebook.github.io/jest/docs/en/webpack.html - -module.exports = { - process() { - return 'module.exports = {};'; - }, - getCacheKey() { - // The output is always the same. - return 'cssTransform'; - }, -}; diff --git a/blackheap-frontend/config/jest/fileTransform.js b/blackheap-frontend/config/jest/fileTransform.js deleted file mode 100644 index aab6761..0000000 --- a/blackheap-frontend/config/jest/fileTransform.js +++ /dev/null @@ -1,40 +0,0 @@ -'use strict'; - -const path = require('path'); -const camelcase = require('camelcase'); - -// This is a custom Jest transformer turning file imports into filenames. -// http://facebook.github.io/jest/docs/en/webpack.html - -module.exports = { - process(src, filename) { - const assetFilename = JSON.stringify(path.basename(filename)); - - if (filename.match(/\.svg$/)) { - // Based on how SVGR generates a component name: - // https://github.com/smooth-code/svgr/blob/01b194cf967347d43d4cbe6b434404731b87cf27/packages/core/src/state.js#L6 - const pascalCaseFilename = camelcase(path.parse(filename).name, { - pascalCase: true, - }); - const componentName = `Svg${pascalCaseFilename}`; - return `const React = require('react'); - module.exports = { - __esModule: true, - default: ${assetFilename}, - ReactComponent: React.forwardRef(function ${componentName}(props, ref) { - return { - $$typeof: Symbol.for('react.element'), - type: 'svg', - ref: ref, - key: null, - props: Object.assign({}, props, { - children: ${assetFilename} - }) - }; - }), - };`; - } - - return `module.exports = ${assetFilename};`; - }, -}; diff --git a/blackheap-frontend/config/modules.js b/blackheap-frontend/config/modules.js deleted file mode 100644 index d63e41d..0000000 --- a/blackheap-frontend/config/modules.js +++ /dev/null @@ -1,134 +0,0 @@ -'use strict'; - -const fs = require('fs'); -const path = require('path'); -const paths = require('./paths'); -const chalk = require('react-dev-utils/chalk'); -const resolve = require('resolve'); - -/** - * Get additional module paths based on the baseUrl of a compilerOptions object. - * - * @param {Object} options - */ -function getAdditionalModulePaths(options = {}) { - const baseUrl = options.baseUrl; - - if (!baseUrl) { - return ''; - } - - const baseUrlResolved = path.resolve(paths.appPath, baseUrl); - - // We don't need to do anything if `baseUrl` is set to `node_modules`. This is - // the default behavior. - if (path.relative(paths.appNodeModules, baseUrlResolved) === '') { - return null; - } - - // Allow the user set the `baseUrl` to `appSrc`. - if (path.relative(paths.appSrc, baseUrlResolved) === '') { - return [paths.appSrc]; - } - - // If the path is equal to the root directory we ignore it here. - // We don't want to allow importing from the root directly as source files are - // not transpiled outside of `src`. We do allow importing them with the - // absolute path (e.g. `src/Components/Button.js`) but we set that up with - // an alias. - if (path.relative(paths.appPath, baseUrlResolved) === '') { - return null; - } - - // Otherwise, throw an error. - throw new Error( - chalk.red.bold( - "Your project's `baseUrl` can only be set to `src` or `node_modules`." + - ' Create React App does not support other values at this time.' - ) - ); -} - -/** - * Get webpack aliases based on the baseUrl of a compilerOptions object. - * - * @param {*} options - */ -function getWebpackAliases(options = {}) { - const baseUrl = options.baseUrl; - - if (!baseUrl) { - return {}; - } - - const baseUrlResolved = path.resolve(paths.appPath, baseUrl); - - if (path.relative(paths.appPath, baseUrlResolved) === '') { - return { - src: paths.appSrc, - }; - } -} - -/** - * Get jest aliases based on the baseUrl of a compilerOptions object. - * - * @param {*} options - */ -function getJestAliases(options = {}) { - const baseUrl = options.baseUrl; - - if (!baseUrl) { - return {}; - } - - const baseUrlResolved = path.resolve(paths.appPath, baseUrl); - - if (path.relative(paths.appPath, baseUrlResolved) === '') { - return { - '^src/(.*)$': '/src/$1', - }; - } -} - -function getModules() { - // Check if TypeScript is setup - const hasTsConfig = fs.existsSync(paths.appTsConfig); - const hasJsConfig = fs.existsSync(paths.appJsConfig); - - if (hasTsConfig && hasJsConfig) { - throw new Error( - 'You have both a tsconfig.json and a jsconfig.json. If you are using TypeScript please remove your jsconfig.json file.' - ); - } - - let config; - - // If there's a tsconfig.json we assume it's a - // TypeScript project and set up the config - // based on tsconfig.json - if (hasTsConfig) { - const ts = require(resolve.sync('typescript', { - basedir: paths.appNodeModules, - })); - config = ts.readConfigFile(paths.appTsConfig, ts.sys.readFile).config; - // Otherwise we'll check if there is jsconfig.json - // for non TS projects. - } else if (hasJsConfig) { - config = require(paths.appJsConfig); - } - - config = config || {}; - const options = config.compilerOptions || {}; - - const additionalModulePaths = getAdditionalModulePaths(options); - - return { - additionalModulePaths: additionalModulePaths, - webpackAliases: getWebpackAliases(options), - jestAliases: getJestAliases(options), - hasTsConfig, - }; -} - -module.exports = getModules(); diff --git a/blackheap-frontend/config/paths.js b/blackheap-frontend/config/paths.js deleted file mode 100644 index f0a6cd9..0000000 --- a/blackheap-frontend/config/paths.js +++ /dev/null @@ -1,77 +0,0 @@ -'use strict'; - -const path = require('path'); -const fs = require('fs'); -const getPublicUrlOrPath = require('react-dev-utils/getPublicUrlOrPath'); - -// Make sure any symlinks in the project folder are resolved: -// https://github.com/facebook/create-react-app/issues/637 -const appDirectory = fs.realpathSync(process.cwd()); -const resolveApp = relativePath => path.resolve(appDirectory, relativePath); - -// We use `PUBLIC_URL` environment variable or "homepage" field to infer -// "public path" at which the app is served. -// webpack needs to know it to put the right - - - - - - - - - - - - - - - - -
- -
- - - - - - - - -
-
-

Document not found (404)

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This URL is invalid, sorry. Please use the navigation bar or search to continue.

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- - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/book/Architecture.html b/docs/book/Architecture.html deleted file mode 100644 index 729d511..0000000 --- a/docs/book/Architecture.html +++ /dev/null @@ -1,235 +0,0 @@ - - - - - - Architecture - Blackheap documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -
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Architecture

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We have a very specific and unusual architecture:

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  • Our benchmarker is written in C
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  • Our frontend is written in React (Typescript)
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  • The modelling logic and main program is written in Rust
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Note that those components are actually 3 different standalone programs, not just libraries linked together. Although those programs are fully functional on their own, blackheap still provides a fully automated process; no user input is required. Moreover, blackheap is shipped as a single binary, see the build process for more.

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How does this work?

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At first, the rust program generates the proper parameters for each benchmark run. It then sequentially spawns a new process for each run. After each run the results get saved to disk. This allows reproducibility as well as reanalyzing old benchmarks once new models are developed.

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After all benchmarks were run, the rust program processes the same results as described above. It then saves the generated models.

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It lastly also saves a single HTML file based frontend for local analysis, see the local workflow for more information. Note that this tool can be used without a local web server, since all assets are transpiled into one HTML file. See the build section for more.

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Why was Rust chosen?

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The intial prototype was written in Python3. But, especially in lightweight HPC environments running old RHEL-based distributions, Python3 often is not installed.

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Although solutions like pyenv exist, bootstrapping Python is not always trivial. Thus we wanted to create a dependency-less binary while keeping most advantages provided by the Python ecosystem.

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This is why we used Rust. Rust offers a huge high level ecosystem with cargo. Rust has zero runtime dependencies and bootstrapping Rust via rustup requires no preinstalled libraries.

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Furthermore, most Rust libraries don't have any 3rd party non-cargo dependencies as well.

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Why was C chosen?

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Despire Rust being a very performant programming language with very little performance overhead, it didn't suffice for our benchmarks. In order to get the best possible accuracy, we need to stay as near to the kernel API as possible. Also, some calls like lseek aren't even available in the Rust stdlib.

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Why was React / TS chosen?

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Rust plotting libraries are either very immature or have hard dependencies on 3rd-Party libraries. Since it was impractical to implement a plotting library from scratch, we chose to take advantage of the enormous Web ecosystem.

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We chose React since it is the most used frontend framework, which maximizes the likelyhood of being easy to maintain in the future. We furthermore chose Plotly as a plotting library since it has enough commercial support to secure its future maintenance.

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How to Build Blackheap

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Prerequisites

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Setting up userspace tooling

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In order to compile it locally, we need the followind userspace tooling. This can be skipped if the tools are installed globally.

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Node and npm

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The easiest way to install node is via the Node version manager. After installing nvm and reloading your shellrc node can be installed via

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nvm install node --lts
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This automatically installs npm as well.

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yarn

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If node and npm are already installed, yarn can be globally installed via

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npm i -g yarn
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rustc + cargo

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The easiest way to install Rust is via rustup. It should automatically install the newest stable version.

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Building Blackheap

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If everything worked, blackheap should be buildable via make.

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How does the Build Process work?

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Blackheap consists of 3 different programs written in C, Typescript and Rust respectively. A more detailed explanation of the architecture and its reasoning behind it can be found under Architecture. In this section blackheap's build process is explained. To make this as language independent as possible, it is orchestrated using a Makefile.

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Step 1: Building the Benchmarker

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First, the benchmarker written in C is compiled. gcc is used as compiler; the compilation process is managed by a second Makefile. At the end, the built binary gets moved into the rust source code directory.

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Step 2: Building the Web-Frontend

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The next step is to build the web-frontend. This is a React frontend based on CRA. yarn is used as a package manager.

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First the project gets installed via yarn. Here all external node-modules dependencies are resolved. After that a minimized, production level optimized single HTML file gets built. At the end, this HTML file also gets moved into the rust directory.

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Step 3: Building the Main Program

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The last thing to be built is the Rust binary. Here the previously built C and TS programs are embedded as binary BLOBs within the main program. Hence, the Rust program can ship the other software optimized for the current architecture at runtime and blackheap can be deployed as a single binary.

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Why the Name Blackheap?

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In blackheap, we use a blackbox methodology for classifying I/O requests. So "blackbox" would be a obvious name choice. Of course, this would be a horrible name: Not only for SEO reasons but also for general name collisions.

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In Rust, the Box<> is the simplest data type to provide a smart pointer. Basically, if you put something in a Box, you store it on the Heap while the only thing put on the stack is the corresponding pointer.

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Thus, substituting Box in blackheap for being a pointer on the heap, we have blackheap!

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Why do we require depend on glibc?

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We depend on the GNU C library glibc for multiple reasons:

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Frequently Asked Questions (FAQ)

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Those aren't actually frequently asked questions, but questions we anticipated or topics that didn't fit the documentation flow.

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0, 0, 0);border:0}.sr-only-focusable:active,.sr-only-focusable:focus{position:static;width:auto;height:auto;margin:0;overflow:visible;clip:auto} diff --git a/docs/book/FontAwesome/fonts/FontAwesome.ttf b/docs/book/FontAwesome/fonts/FontAwesome.ttf deleted file mode 100644 index 35acda2..0000000 Binary files a/docs/book/FontAwesome/fonts/FontAwesome.ttf and /dev/null differ diff --git a/docs/book/FontAwesome/fonts/fontawesome-webfont.eot b/docs/book/FontAwesome/fonts/fontawesome-webfont.eot deleted file mode 100644 index e9f60ca..0000000 Binary files a/docs/book/FontAwesome/fonts/fontawesome-webfont.eot and /dev/null differ diff --git a/docs/book/FontAwesome/fonts/fontawesome-webfont.svg b/docs/book/FontAwesome/fonts/fontawesome-webfont.svg deleted file mode 100644 index 855c845..0000000 --- a/docs/book/FontAwesome/fonts/fontawesome-webfont.svg +++ /dev/null @@ -1,2671 +0,0 @@ - - - - -Created by FontForge 20120731 at Mon Oct 24 17:37:40 2016 - By ,,, -Copyright Dave Gandy 2016. All rights reserved. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/book/FontAwesome/fonts/fontawesome-webfont.ttf b/docs/book/FontAwesome/fonts/fontawesome-webfont.ttf deleted file mode 100644 index 35acda2..0000000 Binary files a/docs/book/FontAwesome/fonts/fontawesome-webfont.ttf and /dev/null differ diff --git a/docs/book/FontAwesome/fonts/fontawesome-webfont.woff b/docs/book/FontAwesome/fonts/fontawesome-webfont.woff deleted file mode 100644 index 400014a..0000000 Binary files a/docs/book/FontAwesome/fonts/fontawesome-webfont.woff and /dev/null differ diff --git a/docs/book/FontAwesome/fonts/fontawesome-webfont.woff2 b/docs/book/FontAwesome/fonts/fontawesome-webfont.woff2 deleted file mode 100644 index 4d13fc6..0000000 Binary files a/docs/book/FontAwesome/fonts/fontawesome-webfont.woff2 and /dev/null differ diff --git a/docs/book/Introduction.html b/docs/book/Introduction.html deleted file mode 100644 index 16b2490..0000000 --- a/docs/book/Introduction.html +++ /dev/null @@ -1,238 +0,0 @@ - - - - - - Introduction - Blackheap documentation - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Introduction

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Analyzing I/O requets is very difficult. It requires a lot of specialized knowledge. One has to take into account the file system, server topology, different traffic sources and access patterns among other things. This is not feasible for the average HPC user, as they neither have the permissions nor the time or knowledge for this type of sophisticated analysis.

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Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers.

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Blackheap approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone.

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Goals

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We designed Blackheap with the following goals in mind:

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  • Single binary without external dependencies
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  • No required configuration
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High Level Workflow

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The internal workflow can be summarized as follows:

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    At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache.

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    After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time.

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    Lastly, we take all those upper bounds and create a predictive model via linear regression.

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Further Ressources

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Blackheap is based on Julian Kunkels 2015 paper "Identifying Relevant Factors in the I/O-Path -using Statistical Methods" (BibTeX).

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Local Single Node Setup

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The single node setup allows for local classification of I/O requests. This standalone process requires no remote server or any kind of running database. Additionally, no changes to the binary or workflow are required.

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Creating a performance model

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After compiling, the performance model can be generated by running blackheap. No further configuration is required.

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One should run the benchmarks on the same decice as the program which one wants to analyze. The path used can be speicifed with the --file parameter, see blackheap --help for more information.

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Analyzing the created model

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After running blackheap, a model folder will be created. The default path is ./default-model, although this can be changed with the --to parameter.

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In this folder, the single file web-frontend is contained, named index.html. This can be viewed with any device and any modern browser; no extra webserver is required. After loading the generated Model.json, the analyzed data gets plotted for manual analysis.

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Using the created model locally

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In order to locally measure any I/O requests, we preload custom I/O functions interjecting any I/O requests. Those I/O functions trace the time taken for each operation.

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This is done through the LD_PRELOAD environment variable. The Linux manual defines it as follows:

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"A list of additional, user-specified, ELF shared objects to be loaded before all others. This feature can be used to selectively override functions in other shared objects."

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For a great introduction see "The LD_PRELOAD trick".

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Our preloadee can be found under ./preloadee. It can be built via make.

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Afterwards, the measurements are done by running the to-be-analyzed binary with the preloaded library injected, i.e.

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LD_PRELOAD=./build/preloadee.so /path/to/my/program
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This will produce a CSV file in the current working directory. This file can then be analyzed locally by the aforementioned web-frontend.

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Streamed Multi Node Classifications with iofs

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Blackheap also allows for aggregated, streamed classification to a remote TSDB via iofs. iofs is a FUSE based tool for measuring I/O requests. It works by remounting a file system, then interjecting any incoming I/O requests. See the iofs documentation for more information.

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This allows for aggregate remote analysis of multiple nodes. It currently supports any monitoring system that is based on Influxdb. In our internal use case, it is used in combinaton with Grafana.

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Again, no changes to the recorded software binary is required, although some configuration may be needed in order to write to the correct mount point.

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Setup

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Here we have a the chicken and the egg type of problem: On the one hand, we want to do access classification based on the expected values of the FUSE file system. On the other hand, we theoretically already need those classifications before starting iofs. This is a complex open problem.

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As mentioned in the issue, there are basically two solutions. For now, this documentation will rely on the first idea since it cannot be assumed that one has that much computing time to create two seperate classification models. Feel free to use the other approach instead if you want, found in the issue as well.

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Step 0: Build iofs; mount it with fake classifications

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Of course, iofs has to be built first. See the related iofs documentation for more.

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After that, iofs should be mounted with a fake set of models in order to have the approximately correct overhead for I/O requests. Download them here related to their CLI parameter name:

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  • constant-linear (DEFAULT): here
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After that, mount iofs via

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./iofs /new/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv
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or, if InfluxDB should be used:

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iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb
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Step 1: Create a performance model using the fake initial classifications

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Note: This, of course, will stream wrong data to Influx. But that is okay. We just want to have the correct data produced by blackheap, which requires the correct request time overhead.

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So, now the correct performance model can be created using blackheap. This requires that the benchmark is done on the iofs FUSE file system, which can be controlled via the --file parameter. Therefore, the minimal call would be

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blackheap --file /path/to/somewhere/within/the/mountpoint
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Afterwards, a model will be created at $PWD/default_model. This can be controlled via --to. See blackheap --help for more.

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Step 2: Remount iofs with the real classifications

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Unmount iofs and remount with the newly created default_model/iofs.csv. Otherwise, the parameters are the same as in Step 0.

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Afterwards, it should record and classify the I/O requests according to the performance model created.

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Setting up Grafana and InfluxDB for Remote Analysis

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We provide a full docker-compose setup for InfluxDB+Grafana in the iofs repository.

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After the setup data can be streamed by mounting iofs with

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iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb
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See the iofs documentation for more information.

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Analysis

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After each benchmark, we get a lot of points (access_size, time) for each characteristics. Now, for each access size, we have to find a good prediction on how much time we can expect the access to take. This way, we can correlate a given operation with the different characteristics we measured.

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Importantly, we can't assume that we have a normal distribution. This makes intuitive sense: On the one hand, calculating access times is a highly multivariate problem. On the other hand, things like shared queues will lead to a Gamma distribution, which is also why we can't just just a Gaussian Mixture Model.

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Without any further assumptions, the trivial choice would be a histogram. Sadly, this leaves us with the problem of automatic bin number and width. Often times, those automatic rules can often hugely misrepresent the underlying PDF.

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Instead we use a so-called Kernel Density Estimation, which creates a "smoother" histogram by putting a kernel over each point, then summing all kernels and renormalizing it to \(\int f(x) = 1\).

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A more detailed introduction to KDEs and their advantages in the great KDEpy documentation.

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Kernel Density Estimations (KDEs)

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A KDE of points \(x_1,\dots,x_n\) can be simplified to

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\[ -\hat{f}(x) = \frac{1}{N} \sum_{i=1}^N K(x-x_i) -\]

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where \(K\) is a so-called kernel function. This function can be understood in the following way:

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In our case, the kernel function is a Gaussian.

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The bandwidth problem

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In real computations, our actual formula is defined as

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\[ -\hat{f}(x) = \frac{1}{Nh} \sum_{i=1}^N K\left(\frac{x-x_i}{h}\right) -\]

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where \(h > 0\) is the so-called bandwidth.

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The bandwidth describes how the kernel needs to be scaled. We use the commonly used Silverman's rule of thumb, provided by the criterion_stats package.

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Cluster detection

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Now that we have a proper kernel density estimation for each characteristic and access time, we can further analyze our measurements.

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At the time of this writing, we associate the time upper bound with the most likely access time, i.e. the global maximum of the corresponding KDE.

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In the future, we want to use more sophisticated cluster detection for creating multiple regression functions. We currently already create clusters, although they are not yet used in the actual classification. They can be seen via the web interface.

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Our cluster algorithm

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A cluster is defined by a local maximum and it's surrounding local minima. Note that the fastest and slowest access times are automatically the outer local minima.

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At first, we just naively compute all cluster by numerically approximating their extrema.

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Next, we try to find the "significant" clusters. A cluster is significant if and only if

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\[ -\max_i - \min_{i+1} \geq 0.1 \cdot \text{global_max} -\]

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If a cluster is not significant, it gets merged into the last significant cluster.

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Creating Benchmarks

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In order to create accurate benchmarks of specific characteristics, we created the blackheap-benchmark benchmarker, which is based on io-modelling.

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It is standalone, configurable via CLI parameters and prints any JSON output to stdout.

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When using the blackheap-modeller, maunal interaction with the benchmarker is not requried.

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Parameters

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It supports the following parameters:

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Model Creation

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After creating and analyzing the KDEs, we now have for each type of benchmark many points (access_size, time_of_global_maximum).

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Now we have to create a predictive model from those points. We currently have 2 different approaches:

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Linear Model

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In order to create a linear model we do a least square linear regression on each points of a given type of benchmark.

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The regression functionality is provided by the great linregress library.

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ConstLinear Model

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This model works with the following assumption: We should expect linear speed below 4096 bytes, as this is the default page cache size.

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Thus we use a piecewise function. The piecewise function is defined as follows:

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Workflow

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Overview

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The workflow can be split into 3 parts:

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- - - -
- - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/book/ayu-highlight.css b/docs/book/ayu-highlight.css deleted file mode 100644 index 32c9432..0000000 --- a/docs/book/ayu-highlight.css +++ /dev/null @@ -1,78 +0,0 @@ -/* -Based off of the Ayu theme -Original by Dempfi (https://github.com/dempfi/ayu) -*/ - -.hljs { - display: block; - overflow-x: auto; - background: #191f26; - color: #e6e1cf; -} - -.hljs-comment, -.hljs-quote { - color: #5c6773; - font-style: italic; -} - -.hljs-variable, -.hljs-template-variable, -.hljs-attribute, -.hljs-attr, -.hljs-regexp, -.hljs-link, -.hljs-selector-id, -.hljs-selector-class { - color: #ff7733; -} - -.hljs-number, -.hljs-meta, -.hljs-builtin-name, -.hljs-literal, -.hljs-type, -.hljs-params { - color: #ffee99; -} - -.hljs-string, -.hljs-bullet { - color: #b8cc52; -} - -.hljs-title, -.hljs-built_in, -.hljs-section { - color: #ffb454; -} - -.hljs-keyword, -.hljs-selector-tag, -.hljs-symbol { - color: #ff7733; -} - -.hljs-name { - color: #36a3d9; 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- } - - var playgrounds = Array.from(document.querySelectorAll(".playground")); - if (playgrounds.length > 0) { - fetch_with_timeout("https://play.rust-lang.org/meta/crates", { - headers: { - 'Content-Type': "application/json", - }, - method: 'POST', - mode: 'cors', - }) - .then(response => response.json()) - .then(response => { - // get list of crates available in the rust playground - let playground_crates = response.crates.map(item => item["id"]); - playgrounds.forEach(block => handle_crate_list_update(block, playground_crates)); - }); - } - - function handle_crate_list_update(playground_block, playground_crates) { - // update the play buttons after receiving the response - update_play_button(playground_block, playground_crates); - - // and install on change listener to dynamically update ACE editors - if (window.ace) { - let code_block = playground_block.querySelector("code"); - if (code_block.classList.contains("editable")) { - let editor = window.ace.edit(code_block); - editor.addEventListener("change", function (e) { - update_play_button(playground_block, playground_crates); - }); - // add Ctrl-Enter command to execute rust code - editor.commands.addCommand({ - name: "run", - bindKey: { - win: "Ctrl-Enter", - mac: "Ctrl-Enter" - }, - exec: _editor => run_rust_code(playground_block) - }); - } - } - } - - // updates the visibility of play button based on `no_run` class and - // used crates vs ones available on http://play.rust-lang.org - function update_play_button(pre_block, playground_crates) { - var play_button = pre_block.querySelector(".play-button"); - - // skip if code is `no_run` - if (pre_block.querySelector('code').classList.contains("no_run")) { - play_button.classList.add("hidden"); - return; - } - - // get list of `extern crate`'s from snippet - var txt = playground_text(pre_block); - var re = /extern\s+crate\s+([a-zA-Z_0-9]+)\s*;/g; - var snippet_crates = []; - var item; - while (item = re.exec(txt)) { - snippet_crates.push(item[1]); - } - - // check if all used crates are available on play.rust-lang.org - var all_available = snippet_crates.every(function (elem) { - return playground_crates.indexOf(elem) > -1; 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- result_block.classList.add("result-no-output"); - } else { - result_block.innerText = response.result; - result_block.classList.remove("result-no-output"); - } - }) - .catch(error => result_block.innerText = "Playground Communication: " + error.message); - } - - // Syntax highlighting Configuration - hljs.configure({ - tabReplace: ' ', // 4 spaces - languages: [], // Languages used for auto-detection - }); - - let code_nodes = Array - .from(document.querySelectorAll('code')) - // Don't highlight `inline code` blocks in headers. - .filter(function (node) {return !node.parentElement.classList.contains("header"); }); - - if (window.ace) { - // language-rust class needs to be removed for editable - // blocks or highlightjs will capture events - code_nodes - .filter(function (node) {return node.classList.contains("editable"); }) - .forEach(function (block) { block.classList.remove('language-rust'); }); - - Array - code_nodes - .filter(function (node) {return !node.classList.contains("editable"); 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-} - -/* Menu Bar */ - -#menu-bar, -#menu-bar-hover-placeholder { - z-index: 101; - margin: auto calc(0px - var(--page-padding)); -} -#menu-bar { - position: relative; - display: flex; - flex-wrap: wrap; - background-color: var(--bg); - border-bottom-color: var(--bg); - border-bottom-width: 1px; - border-bottom-style: solid; -} -#menu-bar.sticky, -.js #menu-bar-hover-placeholder:hover + #menu-bar, -.js #menu-bar:hover, -.js.sidebar-visible #menu-bar { - position: -webkit-sticky; - position: sticky; - top: 0 !important; -} -#menu-bar-hover-placeholder { - position: sticky; - position: -webkit-sticky; - top: 0; - height: var(--menu-bar-height); -} -#menu-bar.bordered { - border-bottom-color: var(--table-border-color); -} -#menu-bar i, #menu-bar .icon-button { - position: relative; - padding: 0 8px; - z-index: 10; - line-height: var(--menu-bar-height); - cursor: pointer; - transition: color 0.5s; -} -@media only screen and (max-width: 420px) { - #menu-bar i, #menu-bar .icon-button { - padding: 0 5px; - } -} - -.icon-button { - border: none; - background: none; - padding: 0; - color: inherit; -} -.icon-button i { - margin: 0; -} - -.right-buttons { - margin: 0 15px; -} -.right-buttons a { - text-decoration: none; -} - -.left-buttons { - display: flex; - margin: 0 5px; -} -.no-js .left-buttons { - display: none; -} - -.menu-title { - display: inline-block; - font-weight: 200; - font-size: 2.4rem; - line-height: var(--menu-bar-height); - text-align: center; - margin: 0; - flex: 1; - white-space: nowrap; - overflow: hidden; - text-overflow: ellipsis; -} -.js .menu-title { - cursor: pointer; -} - -.menu-bar, -.menu-bar:visited, -.nav-chapters, -.nav-chapters:visited, -.mobile-nav-chapters, -.mobile-nav-chapters:visited, -.menu-bar .icon-button, -.menu-bar a i { - color: var(--icons); -} - -.menu-bar i:hover, -.menu-bar .icon-button:hover, -.nav-chapters:hover, -.mobile-nav-chapters i:hover { - color: var(--icons-hover); -} - -/* Nav Icons */ - -.nav-chapters { - font-size: 2.5em; - text-align: center; - text-decoration: none; - - position: fixed; - top: 0; - bottom: 0; - margin: 0; - max-width: 150px; - min-width: 90px; - - display: flex; - justify-content: center; - align-content: center; - flex-direction: column; - - transition: color 0.5s, background-color 0.5s; -} - -.nav-chapters:hover { - text-decoration: none; - background-color: var(--theme-hover); - transition: background-color 0.15s, color 0.15s; -} - -.nav-wrapper { - margin-top: 50px; - display: none; -} - -.mobile-nav-chapters { - font-size: 2.5em; - text-align: center; - text-decoration: none; - width: 90px; - border-radius: 5px; - background-color: var(--sidebar-bg); -} - -.previous { - float: left; -} - -.next { - float: right; - right: var(--page-padding); -} - -@media only screen and (max-width: 1080px) { - .nav-wide-wrapper { display: none; } - .nav-wrapper { display: block; } -} - -@media only screen and (max-width: 1380px) { - .sidebar-visible .nav-wide-wrapper { display: none; } - .sidebar-visible .nav-wrapper { display: block; } -} - -/* Inline code */ - -:not(pre) > .hljs { - display: inline; - padding: 0.1em 0.3em; - border-radius: 3px; -} - -:not(pre):not(a) > .hljs { - color: var(--inline-code-color); - overflow-x: initial; -} - -a:hover > .hljs { - text-decoration: underline; -} - -pre { - position: relative; -} -pre > .buttons { - position: absolute; - z-index: 100; - right: 0px; - top: 2px; - margin: 0px; - padding: 2px 0px; - - color: var(--sidebar-fg); - cursor: pointer; - visibility: hidden; - opacity: 0; - transition: visibility 0.1s linear, opacity 0.1s linear; -} -pre:hover > .buttons { - visibility: visible; - opacity: 1 -} -pre > .buttons :hover { - color: var(--sidebar-active); - border-color: var(--icons-hover); - background-color: var(--theme-hover); -} -pre > .buttons i { - margin-left: 8px; -} -pre > .buttons button { - cursor: inherit; - margin: 0px 5px; - padding: 3px 5px; - font-size: 14px; - - border-style: solid; - border-width: 1px; - border-radius: 4px; - border-color: var(--icons); - background-color: var(--theme-popup-bg); - transition: 100ms; - transition-property: color,border-color,background-color; - color: var(--icons); -} -@media (pointer: coarse) { - pre > .buttons button { - /* On mobile, make it easier to tap buttons. */ - padding: 0.3rem 1rem; - } -} -pre > code { - padding: 1rem; -} - -/* FIXME: ACE editors overlap their buttons because ACE does absolute - positioning within the code block which breaks padding. The only solution I - can think of is to move the padding to the outer pre tag (or insert a div - wrapper), but that would require fixing a whole bunch of CSS rules. -*/ -.hljs.ace_editor { - padding: 0rem 0rem; -} - -pre > .result { - margin-top: 10px; -} - -/* Search */ - -#searchresults a { - text-decoration: none; -} - -mark { - border-radius: 2px; - padding: 0 3px 1px 3px; - margin: 0 -3px -1px -3px; - background-color: var(--search-mark-bg); - transition: background-color 300ms linear; - cursor: pointer; -} - -mark.fade-out { - background-color: rgba(0,0,0,0) !important; - cursor: auto; -} - -.searchbar-outer { - margin-left: auto; - margin-right: auto; - max-width: var(--content-max-width); -} - -#searchbar { - width: 100%; - margin: 5px auto 0px auto; - padding: 10px 16px; - transition: box-shadow 300ms ease-in-out; - border: 1px solid var(--searchbar-border-color); - border-radius: 3px; - background-color: var(--searchbar-bg); - color: var(--searchbar-fg); -} -#searchbar:focus, -#searchbar.active { - box-shadow: 0 0 3px var(--searchbar-shadow-color); -} - -.searchresults-header { - font-weight: bold; - font-size: 1em; - padding: 18px 0 0 5px; - color: var(--searchresults-header-fg); -} - -.searchresults-outer { - margin-left: auto; - margin-right: auto; - max-width: var(--content-max-width); - border-bottom: 1px dashed var(--searchresults-border-color); -} - -ul#searchresults { - list-style: none; - padding-left: 20px; -} -ul#searchresults li { - margin: 10px 0px; - padding: 2px; - border-radius: 2px; -} -ul#searchresults li.focus { - background-color: var(--searchresults-li-bg); -} -ul#searchresults span.teaser { - display: block; - clear: both; - margin: 5px 0 0 20px; - font-size: 0.8em; -} -ul#searchresults span.teaser em { - font-weight: bold; - font-style: normal; -} - -/* Sidebar */ - -.sidebar { - position: fixed; - left: 0; - top: 0; - bottom: 0; - width: var(--sidebar-width); - font-size: 0.875em; - box-sizing: border-box; - -webkit-overflow-scrolling: touch; - overscroll-behavior-y: contain; - background-color: var(--sidebar-bg); - color: var(--sidebar-fg); -} -.sidebar-resizing { - -moz-user-select: none; - -webkit-user-select: none; - -ms-user-select: none; - user-select: none; -} -.js:not(.sidebar-resizing) .sidebar { - transition: transform 0.3s; /* Animation: slide away */ -} -.sidebar code { - line-height: 2em; -} -.sidebar .sidebar-scrollbox { - overflow-y: auto; - position: absolute; - top: 0; - bottom: 0; - left: 0; - right: 0; - padding: 10px 10px; -} -.sidebar .sidebar-resize-handle { - position: absolute; - cursor: col-resize; - width: 0; - right: 0; - top: 0; - bottom: 0; -} -.js .sidebar .sidebar-resize-handle { - cursor: col-resize; - width: 5px; -} -.sidebar-hidden .sidebar { - transform: translateX(calc(0px - var(--sidebar-width))); -} -.sidebar::-webkit-scrollbar { - background: var(--sidebar-bg); -} -.sidebar::-webkit-scrollbar-thumb { - background: var(--scrollbar); -} - -.sidebar-visible .page-wrapper { - transform: translateX(var(--sidebar-width)); -} -@media only screen and (min-width: 620px) { - .sidebar-visible .page-wrapper { - transform: none; - margin-left: var(--sidebar-width); - } -} - -.chapter { - list-style: none outside none; - padding-left: 0; - line-height: 2.2em; -} - -.chapter ol { - width: 100%; -} - -.chapter li { - display: flex; - color: var(--sidebar-non-existant); -} -.chapter li a { - display: block; - padding: 0; - text-decoration: none; - color: var(--sidebar-fg); -} - -.chapter li a:hover { - color: var(--sidebar-active); -} - -.chapter li a.active { - color: var(--sidebar-active); -} - -.chapter li > a.toggle { - cursor: pointer; - display: block; - margin-left: auto; - padding: 0 10px; - user-select: none; - opacity: 0.68; -} - -.chapter li > a.toggle div { - transition: transform 0.5s; -} - -/* collapse the section */ -.chapter li:not(.expanded) + li > ol { - display: none; -} - -.chapter li.chapter-item { - line-height: 1.5em; - margin-top: 0.6em; -} - -.chapter li.expanded > a.toggle div { - transform: rotate(90deg); -} - -.spacer { - width: 100%; - height: 3px; - margin: 5px 0px; -} -.chapter .spacer { - background-color: var(--sidebar-spacer); -} - -@media (-moz-touch-enabled: 1), (pointer: coarse) { - .chapter li a { padding: 5px 0; } - .spacer { margin: 10px 0; } -} - -.section { - list-style: none outside none; - padding-left: 20px; - line-height: 1.9em; -} - -/* Theme Menu Popup */ - -.theme-popup { - position: absolute; - left: 10px; - top: var(--menu-bar-height); - z-index: 1000; - border-radius: 4px; - font-size: 0.7em; - color: var(--fg); - background: var(--theme-popup-bg); - border: 1px solid var(--theme-popup-border); - margin: 0; - padding: 0; - list-style: none; - display: none; -} -.theme-popup .default { - color: var(--icons); -} -.theme-popup .theme { - width: 100%; - border: 0; - margin: 0; - padding: 2px 10px; - line-height: 25px; - white-space: nowrap; - text-align: left; - cursor: pointer; - color: inherit; - background: inherit; - font-size: inherit; -} -.theme-popup .theme:hover { - background-color: var(--theme-hover); -} -.theme-popup .theme:hover:first-child, -.theme-popup .theme:hover:last-child { - border-top-left-radius: inherit; - border-top-right-radius: inherit; -} diff --git a/docs/book/css/general.css b/docs/book/css/general.css deleted file mode 100644 index 0e4f07a..0000000 --- a/docs/book/css/general.css +++ /dev/null @@ -1,191 +0,0 @@ -/* Base styles and content styles */ - -@import 'variables.css'; - -:root { - /* Browser default font-size is 16px, this way 1 rem = 10px */ - font-size: 62.5%; -} - -html { - font-family: "Open Sans", sans-serif; - color: var(--fg); - background-color: var(--bg); - text-size-adjust: none; - -webkit-text-size-adjust: none; -} - -body { - margin: 0; - font-size: 1.6rem; - overflow-x: hidden; -} - -code { - font-family: "Source Code Pro", Consolas, "Ubuntu Mono", Menlo, "DejaVu Sans Mono", monospace, monospace !important; - font-size: 0.875em; /* please adjust the ace font size accordingly in editor.js */ -} - -/* make long words/inline code not x overflow */ -main { - overflow-wrap: break-word; -} - -/* make wide tables scroll if they overflow */ -.table-wrapper { - overflow-x: auto; -} - -/* Don't change font size in headers. */ -h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { - font-size: unset; -} - -.left { float: left; } -.right { float: right; } -.boring { opacity: 0.6; } -.hide-boring .boring { display: none; } -.hidden { display: none !important; } - -h2, h3 { margin-top: 2.5em; } -h4, h5 { margin-top: 2em; } - -.header + .header h3, -.header + .header h4, -.header + .header h5 { - margin-top: 1em; -} - -h1:target::before, -h2:target::before, -h3:target::before, -h4:target::before, -h5:target::before, -h6:target::before { - display: inline-block; - content: "»"; - margin-left: -30px; - width: 30px; -} - -/* This is broken on Safari as of version 14, but is fixed - in Safari Technology Preview 117 which I think will be Safari 14.2. - https://bugs.webkit.org/show_bug.cgi?id=218076 -*/ -:target { - scroll-margin-top: calc(var(--menu-bar-height) + 0.5em); -} - -.page { - outline: 0; - padding: 0 var(--page-padding); - margin-top: calc(0px - var(--menu-bar-height)); /* Compensate for the #menu-bar-hover-placeholder */ -} -.page-wrapper { - box-sizing: border-box; -} -.js:not(.sidebar-resizing) .page-wrapper { - transition: margin-left 0.3s ease, transform 0.3s ease; /* Animation: slide away */ -} - -.content { - overflow-y: auto; - padding: 0 5px 50px 5px; -} -.content main { - margin-left: auto; - margin-right: auto; - max-width: var(--content-max-width); -} -.content p { line-height: 1.45em; } -.content ol { line-height: 1.45em; } -.content ul { line-height: 1.45em; } -.content a { text-decoration: none; } -.content a:hover { text-decoration: underline; } -.content img, .content video { max-width: 100%; } -.content .header:link, -.content .header:visited { - color: var(--fg); -} -.content .header:link, -.content .header:visited:hover { - text-decoration: none; -} - -table { - margin: 0 auto; - border-collapse: collapse; -} -table td { - padding: 3px 20px; - border: 1px var(--table-border-color) solid; -} -table thead { - background: var(--table-header-bg); -} -table thead td { - font-weight: 700; - border: none; -} -table thead th { - padding: 3px 20px; -} -table thead tr { - border: 1px var(--table-header-bg) solid; -} -/* Alternate background colors for rows */ -table tbody tr:nth-child(2n) { - background: var(--table-alternate-bg); -} - - -blockquote { - margin: 20px 0; - padding: 0 20px; - color: var(--fg); - background-color: var(--quote-bg); - border-top: .1em solid var(--quote-border); - border-bottom: .1em solid var(--quote-border); -} - - -:not(.footnote-definition) + .footnote-definition, -.footnote-definition + :not(.footnote-definition) { - margin-top: 2em; -} -.footnote-definition { - font-size: 0.9em; - margin: 0.5em 0; -} -.footnote-definition p { - display: inline; -} - -.tooltiptext { - position: absolute; - visibility: hidden; - color: #fff; - background-color: #333; - transform: translateX(-50%); /* Center by moving tooltip 50% of its width left */ - left: -8px; /* Half of the width of the icon */ - top: -35px; - font-size: 0.8em; - text-align: center; - border-radius: 6px; - padding: 5px 8px; - margin: 5px; - z-index: 1000; -} -.tooltipped .tooltiptext { - visibility: visible; -} - -.chapter li.part-title { - color: var(--sidebar-fg); - margin: 5px 0px; - font-weight: bold; -} - -.result-no-output { - font-style: italic; -} diff --git a/docs/book/css/print.css b/docs/book/css/print.css deleted file mode 100644 index 5e690f7..0000000 --- a/docs/book/css/print.css +++ /dev/null @@ -1,54 +0,0 @@ - -#sidebar, -#menu-bar, -.nav-chapters, -.mobile-nav-chapters { - display: none; -} - -#page-wrapper.page-wrapper { - transform: none; - margin-left: 0px; - overflow-y: initial; -} - -#content { - max-width: none; - margin: 0; - padding: 0; -} - -.page { - overflow-y: initial; -} - -code { - background-color: #666666; - border-radius: 5px; - - /* Force background to be printed in Chrome */ - -webkit-print-color-adjust: exact; -} - -pre > .buttons { - z-index: 2; -} - -a, a:visited, a:active, a:hover { - color: #4183c4; - text-decoration: none; -} - -h1, h2, h3, h4, h5, h6 { - page-break-inside: avoid; - page-break-after: avoid; -} - -pre, code { - page-break-inside: avoid; - white-space: pre-wrap; -} - -.fa { - display: none !important; -} diff --git a/docs/book/css/variables.css b/docs/book/css/variables.css deleted file mode 100644 index 56b634b..0000000 --- a/docs/book/css/variables.css +++ /dev/null @@ -1,253 +0,0 @@ - -/* Globals */ - -:root { - --sidebar-width: 300px; - --page-padding: 15px; - --content-max-width: 750px; - --menu-bar-height: 50px; -} - -/* Themes */ - -.ayu { - --bg: hsl(210, 25%, 8%); - --fg: #c5c5c5; - - --sidebar-bg: #14191f; - --sidebar-fg: #c8c9db; - --sidebar-non-existant: #5c6773; - --sidebar-active: #ffb454; - --sidebar-spacer: #2d334f; - - --scrollbar: var(--sidebar-fg); - - --icons: #737480; - --icons-hover: #b7b9cc; - - --links: #0096cf; - - --inline-code-color: #ffb454; - - --theme-popup-bg: #14191f; - --theme-popup-border: #5c6773; - --theme-hover: #191f26; - - --quote-bg: hsl(226, 15%, 17%); - --quote-border: hsl(226, 15%, 22%); - - --table-border-color: hsl(210, 25%, 13%); - --table-header-bg: hsl(210, 25%, 28%); - --table-alternate-bg: hsl(210, 25%, 11%); - - --searchbar-border-color: #848484; - --searchbar-bg: #424242; - --searchbar-fg: #fff; - --searchbar-shadow-color: #d4c89f; - --searchresults-header-fg: #666; - --searchresults-border-color: #888; - --searchresults-li-bg: #252932; - --search-mark-bg: #e3b171; -} - -.coal { - --bg: hsl(200, 7%, 8%); - --fg: #98a3ad; - - --sidebar-bg: #292c2f; - --sidebar-fg: #a1adb8; - --sidebar-non-existant: #505254; - --sidebar-active: #3473ad; - --sidebar-spacer: #393939; - - --scrollbar: var(--sidebar-fg); - - --icons: #43484d; - --icons-hover: #b3c0cc; - - --links: #2b79a2; - - --inline-code-color: #c5c8c6; - - --theme-popup-bg: #141617; - --theme-popup-border: #43484d; - --theme-hover: #1f2124; - - --quote-bg: hsl(234, 21%, 18%); - --quote-border: hsl(234, 21%, 23%); - - --table-border-color: hsl(200, 7%, 13%); - --table-header-bg: hsl(200, 7%, 28%); - --table-alternate-bg: hsl(200, 7%, 11%); - - --searchbar-border-color: #aaa; - --searchbar-bg: #b7b7b7; - --searchbar-fg: #000; - --searchbar-shadow-color: #aaa; - --searchresults-header-fg: #666; - --searchresults-border-color: #98a3ad; - --searchresults-li-bg: #2b2b2f; - --search-mark-bg: #355c7d; -} - -.light { - --bg: hsl(0, 0%, 100%); - --fg: hsl(0, 0%, 0%); - - --sidebar-bg: #fafafa; - --sidebar-fg: hsl(0, 0%, 0%); - --sidebar-non-existant: #aaaaaa; - --sidebar-active: #1f1fff; - --sidebar-spacer: #f4f4f4; - - --scrollbar: #8F8F8F; - - --icons: #747474; - --icons-hover: #000000; - - --links: #20609f; - - --inline-code-color: #301900; - - --theme-popup-bg: #fafafa; - --theme-popup-border: #cccccc; - --theme-hover: #e6e6e6; - - --quote-bg: hsl(197, 37%, 96%); - --quote-border: hsl(197, 37%, 91%); - - --table-border-color: hsl(0, 0%, 95%); - --table-header-bg: hsl(0, 0%, 80%); - --table-alternate-bg: hsl(0, 0%, 97%); - - --searchbar-border-color: #aaa; - --searchbar-bg: #fafafa; - --searchbar-fg: #000; - --searchbar-shadow-color: #aaa; - --searchresults-header-fg: #666; - --searchresults-border-color: #888; - --searchresults-li-bg: #e4f2fe; - --search-mark-bg: #a2cff5; -} - -.navy { - --bg: hsl(226, 23%, 11%); - --fg: #bcbdd0; - - --sidebar-bg: #282d3f; - --sidebar-fg: #c8c9db; - --sidebar-non-existant: #505274; - --sidebar-active: #2b79a2; - --sidebar-spacer: #2d334f; - - --scrollbar: var(--sidebar-fg); - - --icons: #737480; - --icons-hover: #b7b9cc; - - --links: #2b79a2; - - --inline-code-color: #c5c8c6; - - --theme-popup-bg: #161923; - --theme-popup-border: #737480; - --theme-hover: #282e40; - - --quote-bg: hsl(226, 15%, 17%); - --quote-border: hsl(226, 15%, 22%); - - --table-border-color: hsl(226, 23%, 16%); - --table-header-bg: hsl(226, 23%, 31%); - --table-alternate-bg: hsl(226, 23%, 14%); - - --searchbar-border-color: #aaa; - --searchbar-bg: #aeaec6; - --searchbar-fg: #000; - --searchbar-shadow-color: #aaa; - --searchresults-header-fg: #5f5f71; - --searchresults-border-color: #5c5c68; - --searchresults-li-bg: #242430; - --search-mark-bg: #a2cff5; -} - -.rust { - --bg: hsl(60, 9%, 87%); - --fg: #262625; - - --sidebar-bg: #3b2e2a; - --sidebar-fg: #c8c9db; - --sidebar-non-existant: #505254; - --sidebar-active: #e69f67; - --sidebar-spacer: #45373a; - - --scrollbar: var(--sidebar-fg); - - --icons: #737480; - --icons-hover: #262625; - - --links: #2b79a2; - - --inline-code-color: #6e6b5e; - - --theme-popup-bg: #e1e1db; - --theme-popup-border: #b38f6b; - --theme-hover: #99908a; - - --quote-bg: hsl(60, 5%, 75%); - --quote-border: hsl(60, 5%, 70%); - - --table-border-color: hsl(60, 9%, 82%); - --table-header-bg: #b3a497; - --table-alternate-bg: hsl(60, 9%, 84%); - - --searchbar-border-color: #aaa; - --searchbar-bg: #fafafa; - --searchbar-fg: #000; - --searchbar-shadow-color: #aaa; - --searchresults-header-fg: #666; - --searchresults-border-color: #888; - --searchresults-li-bg: #dec2a2; - --search-mark-bg: #e69f67; -} - -@media (prefers-color-scheme: dark) { - .light.no-js { - --bg: hsl(200, 7%, 8%); - --fg: #98a3ad; - - --sidebar-bg: #292c2f; - --sidebar-fg: #a1adb8; - --sidebar-non-existant: #505254; - --sidebar-active: #3473ad; - --sidebar-spacer: #393939; - - --scrollbar: var(--sidebar-fg); - - --icons: #43484d; - --icons-hover: #b3c0cc; - - --links: #2b79a2; - - --inline-code-color: #c5c8c6; - - --theme-popup-bg: #141617; - --theme-popup-border: #43484d; - --theme-hover: #1f2124; - - --quote-bg: hsl(234, 21%, 18%); - --quote-border: hsl(234, 21%, 23%); - - --table-border-color: hsl(200, 7%, 13%); - --table-header-bg: hsl(200, 7%, 28%); - --table-alternate-bg: hsl(200, 7%, 11%); - - --searchbar-border-color: #aaa; - --searchbar-bg: #b7b7b7; - --searchbar-fg: #000; - --searchbar-shadow-color: #aaa; - --searchresults-header-fg: #666; - --searchresults-border-color: #98a3ad; - --searchresults-li-bg: #2b2b2f; - --search-mark-bg: #355c7d; - } -} diff --git a/docs/book/elasticlunr.min.js b/docs/book/elasticlunr.min.js deleted file mode 100644 index 94b20dd..0000000 --- a/docs/book/elasticlunr.min.js +++ /dev/null @@ -1,10 +0,0 @@ -/** - * elasticlunr - http://weixsong.github.io - * Lightweight full-text search engine in Javascript for browser search and offline search. - 0.9.5 - * - * Copyright (C) 2017 Oliver Nightingale - * Copyright (C) 2017 Wei Song - * MIT Licensed - * @license - */ -!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o - - - - diff --git a/docs/book/fonts/OPEN-SANS-LICENSE.txt b/docs/book/fonts/OPEN-SANS-LICENSE.txt deleted file mode 100644 index d645695..0000000 --- a/docs/book/fonts/OPEN-SANS-LICENSE.txt +++ /dev/null @@ -1,202 +0,0 @@ - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. 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We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. diff --git a/docs/book/fonts/SOURCE-CODE-PRO-LICENSE.txt b/docs/book/fonts/SOURCE-CODE-PRO-LICENSE.txt deleted file mode 100644 index 366206f..0000000 --- a/docs/book/fonts/SOURCE-CODE-PRO-LICENSE.txt +++ /dev/null @@ -1,93 +0,0 @@ -Copyright 2010, 2012 Adobe Systems Incorporated (http://www.adobe.com/), with Reserved Font Name 'Source'. All Rights Reserved. Source is a trademark of Adobe Systems Incorporated in the United States and/or other countries. - -This Font Software is licensed under the SIL Open Font License, Version 1.1. -This license is copied below, and is also available with a FAQ at: -http://scripts.sil.org/OFL - - ------------------------------------------------------------ -SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ------------------------------------------------------------ - -PREAMBLE -The goals of the Open Font License (OFL) are to stimulate worldwide -development of collaborative font projects, to support the font creation -efforts of academic and linguistic communities, and to provide a free and -open framework in which fonts may be shared and improved in partnership -with others. - -The OFL allows the licensed fonts to be used, studied, modified and -redistributed freely as long as they are not sold by themselves. The -fonts, including any derivative works, can be bundled, embedded, -redistributed and/or sold with any software provided that any reserved -names are not used by derivative works. The fonts and derivatives, -however, cannot be released under any other type of license. The -requirement for fonts to remain under this license does not apply -to any document created using the fonts or their derivatives. - -DEFINITIONS -"Font Software" refers to the set of files released by the Copyright -Holder(s) under this license and clearly marked as such. This may -include source files, build scripts and documentation. - -"Reserved Font Name" refers to any names specified as such after the -copyright statement(s). - -"Original Version" refers to the collection of Font Software components as -distributed by the Copyright Holder(s). - -"Modified Version" refers to any derivative made by adding to, deleting, -or substituting -- in part or in whole -- any of the components of the -Original Version, by changing formats or by porting the Font Software to a -new environment. - -"Author" refers to any designer, engineer, programmer, technical -writer or other person who contributed to the Font Software. - -PERMISSION & CONDITIONS -Permission is hereby granted, free of charge, to any person obtaining -a copy of the Font Software, to use, study, copy, merge, embed, modify, -redistribute, and sell modified and unmodified copies of the Font -Software, subject to the following conditions: - -1) Neither the Font Software nor any of its individual components, -in Original or Modified Versions, may be sold by itself. - -2) Original or Modified Versions of the Font Software may be bundled, -redistributed and/or sold with any software, provided that each copy -contains the above copyright notice and this license. These can be -included either as stand-alone text files, human-readable headers or -in the appropriate machine-readable metadata fields within text or -binary files as long as those fields can be easily viewed by the user. - -3) No Modified Version of the Font Software may use the Reserved Font -Name(s) unless explicit written permission is granted by the corresponding -Copyright Holder. This restriction only applies to the primary font name as -presented to the users. - -4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font -Software shall not be used to promote, endorse or advertise any -Modified Version, except to acknowledge the contribution(s) of the -Copyright Holder(s) and the Author(s) or with their explicit written -permission. - -5) The Font Software, modified or unmodified, in part or in whole, -must be distributed entirely under this license, and must not be -distributed under any other license. The requirement for fonts to -remain under this license does not apply to any document created -using the Font Software. - -TERMINATION -This license becomes null and void if any of the above conditions are -not met. - -DISCLAIMER -THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF -MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT -OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE -COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, -INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL -DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING -FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM -OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/docs/book/fonts/fonts.css b/docs/book/fonts/fonts.css deleted file mode 100644 index 858efa5..0000000 --- a/docs/book/fonts/fonts.css +++ /dev/null @@ -1,100 +0,0 @@ -/* Open Sans is licensed under the Apache License, Version 2.0. See http://www.apache.org/licenses/LICENSE-2.0 */ -/* Source Code Pro is under the Open Font License. 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Introduction

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Analyzing I/O requets is very difficult. It requires a lot of specialized knowledge. One has to take into account the file system, server topology, different traffic sources and access patterns among other things. This is not feasible for the average HPC user, as they neither have the permissions nor the time or knowledge for this type of sophisticated analysis.

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Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers.

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Blackheap approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone.

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Goals

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We designed Blackheap with the following goals in mind:

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  • Single binary without external dependencies
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  • No required configuration
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  • Self-contained, automatic end-to-end workflow
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  • Setup agnostic classification (remote or local storage)
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  • Distribution agnostic: Any glibc-based Linux distribution will suffice
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  • No root required
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  • Easy to build: only non-userspace dependencies are glibc, gcc and make
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High Level Workflow

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The internal workflow can be summarized as follows:

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    At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache.

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    After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time.

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    Lastly, we take all those upper bounds and create a predictive model via linear regression.

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Further Ressources

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Blackheap is based on Julian Kunkels 2015 paper "Identifying Relevant Factors in the I/O-Path -using Statistical Methods" (BibTeX).

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- -
- - - - - - - - -
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Introduction

-

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Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers.

-

Blackheap approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone.

-

Goals

-

We designed Blackheap with the following goals in mind:

-
    -
  • Single binary without external dependencies
    • -
  • No required configuration
    • -
  • Self-contained, automatic end-to-end workflow
    • -
  • Setup agnostic classification (remote or local storage)
    • -
  • Distribution agnostic: Any glibc-based Linux distribution will suffice
    • -
  • No root required
    • -
  • Easy to build: only non-userspace dependencies are glibc, gcc and make
    • -
-

High Level Workflow

-

The internal workflow can be summarized as follows:

-
    -
  1. -

    At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache.

    -
    2. -
  2. -

    After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time.

    -
    3. -
  3. -

    Lastly, we take all those upper bounds and create a predictive model via linear regression.

    -
    4. -
-

Further Ressources

-

Blackheap is based on Julian Kunkels 2015 paper "Identifying Relevant Factors in the I/O-Path -using Statistical Methods" (BibTeX).

-

Workflow

-

Overview

-

The workflow can be split into 3 parts:

- -

Note that Blackheap does all of those 3 steps automatically, no manual work is required!

-

Creating Benchmarks

-

In order to create accurate benchmarks of specific characteristics, we created the blackheap-benchmark benchmarker, which is based on io-modelling.

-

It is standalone, configurable via CLI parameters and prints any JSON output to stdout.

-

When using the blackheap-modeller, maunal interaction with the benchmarker is not requried.

-

Parameters

-

It supports the following parameters:

-
    -
  • -r/-w for either read or write operations
    • -
  • --file-pattern/--mem-pattern for the access pattern of the file system or memory buffer. -The following patterns are implemented -
      -
    • off0: Always use the same to the same offset
      • -
    • seq: Read/Write sequentially
      • -
    • rnd: Change the offset randomly after every I/O operation.
      • -
    -
    • -
  • --access-size: The size of each I/O operation. This is primarily used to create different measurements of the same characteristics.
    • -
  • --file: On which file the benchmark should run. Note that the file at the given path will be zeroed out. Use this setting to implicitly set which file system is getting benchmarked.
    • -
  • --file-buf/--mem-buf: The size of the corresponding buffers in bytes. Note that the file buffer actually gets allocated via successive write operations; no fallocate is used.
    • -
  • --repeats The number of measurements with a given configuration.
    • -
  • --delete-afterwards: Whether the file should be deleted after the benchmark is done. This can be used to remove any page caching between benchmarks. Obviously, not deleting the file can significantly reduce the execution time of further benchmarks.
    • -
  • --drop-cache: Drops the page cache via /proc/sys/vm/drop_caches
    • -
  • --free-ram Aritificially allocates RAM until the number of bytes are met. This restriction is done in order to force cache eviction.
    • -
  • --o-direct: Uses Linux Direct I/O (see O_DIRECT)
    • -
  • --reread: Read each block twice, just benchmark the second time. This is used to get cache speeds.
    • -
-

Analysis

-

After each benchmark, we get a lot of points (access_size, time) for each characteristics. Now, for each access size, we have to find a good prediction on how much time we can expect the access to take. This way, we can correlate a given operation with the different characteristics we measured.

-

Importantly, we can't assume that we have a normal distribution. This makes intuitive sense: On the one hand, calculating access times is a highly multivariate problem. On the other hand, things like shared queues will lead to a Gamma distribution, which is also why we can't just just a Gaussian Mixture Model.

-

Without any further assumptions, the trivial choice would be a histogram. Sadly, this leaves us with the problem of automatic bin number and width. Often times, those automatic rules can often hugely misrepresent the underlying PDF.

-

Instead we use a so-called Kernel Density Estimation, which creates a "smoother" histogram by putting a kernel over each point, then summing all kernels and renormalizing it to \(\int f(x) = 1\).

-

A more detailed introduction to KDEs and their advantages in the great KDEpy documentation.

-

Kernel Density Estimations (KDEs)

-

A KDE of points \(x_1,\dots,x_n\) can be simplified to

-

\[ -\hat{f}(x) = \frac{1}{N} \sum_{i=1}^N K(x-x_i) -\]

-

where \(K\) is a so-called kernel function. This function can be understood in the following way:

-
    -
  • For each point \(x_i, i \in {1,\dots, n}\)
    • -
  • Move the kernel function \(x_i\) to the right, to center it on this point
    • -
  • Then take the already moved kernel function \(K\) with regard to \(x\)
    • -
  • Take the sum of all those evaluated kernels
    • -
  • And renormalize it so that the integral equals \(1\) i.e. the whole domain has a probability of 100%.
    • -
-

In our case, the kernel function is a Gaussian.

-

The bandwidth problem

-

In real computations, our actual formula is defined as

-

\[ -\hat{f}(x) = \frac{1}{Nh} \sum_{i=1}^N K\left(\frac{x-x_i}{h}\right) -\]

-

where \(h > 0\) is the so-called bandwidth.

-

The bandwidth describes how the kernel needs to be scaled. We use the commonly used Silverman's rule of thumb, provided by the criterion_stats package.

-

Cluster detection

-

Now that we have a proper kernel density estimation for each characteristic and access time, we can further analyze our measurements.

-

At the time of this writing, we associate the time upper bound with the most likely access time, i.e. the global maximum of the corresponding KDE.

-

In the future, we want to use more sophisticated cluster detection for creating multiple regression functions. We currently already create clusters, although they are not yet used in the actual classification. They can be seen via the web interface.

-

Our cluster algorithm

-

A cluster is defined by a local maximum and it's surrounding local minima. Note that the fastest and slowest access times are automatically the outer local minima.

-

At first, we just naively compute all cluster by numerically approximating their extrema.

-

Next, we try to find the "significant" clusters. A cluster is significant if and only if

-

\[ -\max_i - \min_{i+1} \geq 0.1 \cdot \text{global_max} -\]

-

If a cluster is not significant, it gets merged into the last significant cluster.

-

Model Creation

-

After creating and analyzing the KDEs, we now have for each type of benchmark many points (access_size, time_of_global_maximum).

-

Now we have to create a predictive model from those points. We currently have 2 different approaches:

-

Linear Model

-

In order to create a linear model we do a least square linear regression on each points of a given type of benchmark.

-

The regression functionality is provided by the great linregress library.

-

ConstLinear Model

-

This model works with the following assumption: We should expect linear speed below 4096 bytes, as this is the default page cache size.

-

Thus we use a piecewise function. The piecewise function is defined as follows:

-
def f(x):
-  if x <= 4096:
-    return global_maximum(1, 4096)
-  else:
-    return linear_model_beginning_at(4096)
-
-

Architecture

-

We have a very specific and unusual architecture:

-
    -
  • Our benchmarker is written in C
    • -
  • Our frontend is written in React (Typescript)
    • -
  • The modelling logic and main program is written in Rust
    • -
-

Note that those components are actually 3 different standalone programs, not just libraries linked together. Although those programs are fully functional on their own, blackheap still provides a fully automated process; no user input is required. Moreover, blackheap is shipped as a single binary, see the build process for more.

-

How does this work?

-

At first, the rust program generates the proper parameters for each benchmark run. It then sequentially spawns a new process for each run. After each run the results get saved to disk. This allows reproducibility as well as reanalyzing old benchmarks once new models are developed.

-

After all benchmarks were run, the rust program processes the same results as described above. It then saves the generated models.

-

It lastly also saves a single HTML file based frontend for local analysis, see the local workflow for more information. Note that this tool can be used without a local web server, since all assets are transpiled into one HTML file. See the build section for more.

-

Why was Rust chosen?

-

The intial prototype was written in Python3. But, especially in lightweight HPC environments running old RHEL-based distributions, Python3 often is not installed.

-

Although solutions like pyenv exist, bootstrapping Python is not always trivial. Thus we wanted to create a dependency-less binary while keeping most advantages provided by the Python ecosystem.

-

This is why we used Rust. Rust offers a huge high level ecosystem with cargo. Rust has zero runtime dependencies and bootstrapping Rust via rustup requires no preinstalled libraries.

-

Furthermore, most Rust libraries don't have any 3rd party non-cargo dependencies as well.

-

Why was C chosen?

-

Despire Rust being a very performant programming language with very little performance overhead, it didn't suffice for our benchmarks. In order to get the best possible accuracy, we need to stay as near to the kernel API as possible. Also, some calls like lseek aren't even available in the Rust stdlib.

-

Why was React / TS chosen?

-

Rust plotting libraries are either very immature or have hard dependencies on 3rd-Party libraries. Since it was impractical to implement a plotting library from scratch, we chose to take advantage of the enormous Web ecosystem.

-

We chose React since it is the most used frontend framework, which maximizes the likelyhood of being easy to maintain in the future. We furthermore chose Plotly as a plotting library since it has enough commercial support to secure its future maintenance.

-

How to Build Blackheap

-

Prerequisites

-
    -
  • Have a glibc based linux distribution (no alpine support)
    • -
  • Required: gcc
    • -
  • Optionally: make
    • -
-

Setting up userspace tooling

-

In order to compile it locally, we need the followind userspace tooling. This can be skipped if the tools are installed globally.

-

Node and npm

-

The easiest way to install node is via the Node version manager. After installing nvm and reloading your shellrc node can be installed via

-
nvm install node --lts
-nvm use node --lts
-
-

This automatically installs npm as well.

-

yarn

-

If node and npm are already installed, yarn can be globally installed via

-
npm i -g yarn
-
-

rustc + cargo

-

The easiest way to install Rust is via rustup. It should automatically install the newest stable version.

-

Building Blackheap

-

If everything worked, blackheap should be buildable via make.

-

Local Single Node Setup

-

The single node setup allows for local classification of I/O requests. This standalone process requires no remote server or any kind of running database. Additionally, no changes to the binary or workflow are required.

-

Creating a performance model

-

After compiling, the performance model can be generated by running blackheap. No further configuration is required.

-

One should run the benchmarks on the same decice as the program which one wants to analyze. The path used can be speicifed with the --file parameter, see blackheap --help for more information.

-

Analyzing the created model

-

After running blackheap, a model folder will be created. The default path is ./default-model, although this can be changed with the --to parameter.

-

In this folder, the single file web-frontend is contained, named index.html. This can be viewed with any device and any modern browser; no extra webserver is required. After loading the generated Model.json, the analyzed data gets plotted for manual analysis.

-

Using the created model locally

-

In order to locally measure any I/O requests, we preload custom I/O functions interjecting any I/O requests. Those I/O functions trace the time taken for each operation.

-

This is done through the LD_PRELOAD environment variable. The Linux manual defines it as follows:

-

"A list of additional, user-specified, ELF shared objects to be loaded before all others. This feature can be used to selectively override functions in other shared objects."

-

For a great introduction see "The LD_PRELOAD trick".

-

Our preloadee can be found under ./preloadee. It can be built via make.

-

Afterwards, the measurements are done by running the to-be-analyzed binary with the preloaded library injected, i.e.

-
LD_PRELOAD=./build/preloadee.so /path/to/my/program
-
-

This will produce a CSV file in the current working directory. This file can then be analyzed locally by the aforementioned web-frontend.

-

Streamed Multi Node Classifications with iofs

-

Blackheap also allows for aggregated, streamed classification to a remote TSDB via iofs. iofs is a FUSE based tool for measuring I/O requests. It works by remounting a file system, then interjecting any incoming I/O requests. See the iofs documentation for more information.

-

This allows for aggregate remote analysis of multiple nodes. It currently supports any monitoring system that is based on Influxdb. In our internal use case, it is used in combinaton with Grafana.

-

Again, no changes to the recorded software binary is required, although some configuration may be needed in order to write to the correct mount point.

-

Setup

-

Here we have a the chicken and the egg type of problem: On the one hand, we want to do access classification based on the expected values of the FUSE file system. On the other hand, we theoretically already need those classifications before starting iofs. This is a complex open problem.

-

As mentioned in the issue, there are basically two solutions. For now, this documentation will rely on the first idea since it cannot be assumed that one has that much computing time to create two seperate classification models. Feel free to use the other approach instead if you want, found in the issue as well.

-

Step 0: Build iofs; mount it with fake classifications

-

Of course, iofs has to be built first. See the related iofs documentation for more.

-

After that, iofs should be mounted with a fake set of models in order to have the approximately correct overhead for I/O requests. Download them here related to their CLI parameter name:

-
    -
  • constant-linear (DEFAULT): here
    • -
  • linear: here
    • -
-

After that, mount iofs via

-
./iofs /new/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv
-
-

or, if InfluxDB should be used:

-
iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb
-
-

Step 1: Create a performance model using the fake initial classifications

-

Note: This, of course, will stream wrong data to Influx. But that is okay. We just want to have the correct data produced by blackheap, which requires the correct request time overhead.

-

So, now the correct performance model can be created using blackheap. This requires that the benchmark is done on the iofs FUSE file system, which can be controlled via the --file parameter. Therefore, the minimal call would be

-
blackheap --file /path/to/somewhere/within/the/mountpoint
-
-

Afterwards, a model will be created at $PWD/default_model. This can be controlled via --to. See blackheap --help for more.

-

Step 2: Remount iofs with the real classifications

-

Unmount iofs and remount with the newly created default_model/iofs.csv. Otherwise, the parameters are the same as in Step 0.

-

Afterwards, it should record and classify the I/O requests according to the performance model created.

-

Setting up Grafana and InfluxDB for Remote Analysis

-

We provide a full docker-compose setup for InfluxDB+Grafana in the iofs repository.

-

After the setup data can be streamed by mounting iofs with

-
iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb
-
-

See the iofs documentation for more information.

-

Frequently Asked Questions (FAQ)

-

Those aren't actually frequently asked questions, but questions we anticipated or topics that didn't fit the documentation flow.

-

How does the Build Process work?

-

Blackheap consists of 3 different programs written in C, Typescript and Rust respectively. A more detailed explanation of the architecture and its reasoning behind it can be found under Architecture. In this section blackheap's build process is explained. To make this as language independent as possible, it is orchestrated using a Makefile.

-

Step 1: Building the Benchmarker

-

First, the benchmarker written in C is compiled. gcc is used as compiler; the compilation process is managed by a second Makefile. At the end, the built binary gets moved into the rust source code directory.

-

Step 2: Building the Web-Frontend

-

The next step is to build the web-frontend. This is a React frontend based on CRA. yarn is used as a package manager.

-

First the project gets installed via yarn. Here all external node-modules dependencies are resolved. After that a minimized, production level optimized single HTML file gets built. At the end, this HTML file also gets moved into the rust directory.

-

Step 3: Building the Main Program

-

The last thing to be built is the Rust binary. Here the previously built C and TS programs are embedded as binary BLOBs within the main program. Hence, the Rust program can ship the other software optimized for the current architecture at runtime and blackheap can be deployed as a single binary.

-

Why do we require depend on glibc?

-

We depend on the GNU C library glibc for multiple reasons:

- -

Why the Name Blackheap?

-

In blackheap, we use a blackbox methodology for classifying I/O requests. So "blackbox" would be a obvious name choice. Of course, this would be a horrible name: Not only for SEO reasons but also for general name collisions.

-

In Rust, the Box<> is the simplest data type to provide a smart pointer. Basically, if you put something in a Box, you store it on the Heap while the only thing put on the stack is the corresponding pointer.

-

Thus, substituting Box in blackheap for being a pointer on the heap, we have blackheap!

- -
- - -
-
- - - -
- - - - - - - - - - - - - - - - - - - - - - - diff --git a/docs/book/searcher.js b/docs/book/searcher.js deleted file mode 100644 index d2b0aee..0000000 --- a/docs/book/searcher.js +++ /dev/null @@ -1,483 +0,0 @@ -"use strict"; -window.search = window.search || {}; -(function search(search) { - // Search functionality - // - // You can use !hasFocus() to prevent keyhandling in your key - // event handlers while the user is typing their search. - - if (!Mark || !elasticlunr) { - return; - } - - //IE 11 Compatibility from https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/startsWith - if (!String.prototype.startsWith) { - String.prototype.startsWith = function(search, pos) { - return this.substr(!pos || pos < 0 ? 0 : +pos, search.length) === search; - }; - } - - var search_wrap = document.getElementById('search-wrapper'), - searchbar = document.getElementById('searchbar'), - searchbar_outer = document.getElementById('searchbar-outer'), - searchresults = document.getElementById('searchresults'), - searchresults_outer = document.getElementById('searchresults-outer'), - searchresults_header = document.getElementById('searchresults-header'), - searchicon = document.getElementById('search-toggle'), - content = document.getElementById('content'), - - searchindex = null, - doc_urls = [], - results_options = { - teaser_word_count: 30, - limit_results: 30, - }, - search_options = { - bool: "AND", - expand: true, - fields: { - title: {boost: 1}, - body: {boost: 1}, - breadcrumbs: {boost: 0} - } - }, - mark_exclude = [], - marker = new Mark(content), - current_searchterm = "", - URL_SEARCH_PARAM = 'search', - URL_MARK_PARAM = 'highlight', - teaser_count = 0, - - SEARCH_HOTKEY_KEYCODE = 83, - ESCAPE_KEYCODE = 27, - DOWN_KEYCODE = 40, - UP_KEYCODE = 38, - SELECT_KEYCODE = 13; - - function hasFocus() { - return searchbar === document.activeElement; - } - - function removeChildren(elem) { - while (elem.firstChild) { - elem.removeChild(elem.firstChild); - } - } - - // Helper to parse a url into its building blocks. - function parseURL(url) { - var a = document.createElement('a'); - a.href = url; - return { - source: url, - protocol: a.protocol.replace(':',''), - host: a.hostname, - port: a.port, - params: (function(){ - var ret = {}; - var seg = a.search.replace(/^\?/,'').split('&'); - var len = seg.length, i = 0, s; - for (;i': '>', - '"': '"', - "'": ''' - }; - var repl = function(c) { return MAP[c]; }; - return function(s) { - return s.replace(/[&<>'"]/g, repl); - }; - })(); - - function formatSearchMetric(count, searchterm) { - if (count == 1) { - return count + " search result for '" + searchterm + "':"; - } else if (count == 0) { - return "No search results for '" + searchterm + "'."; - } else { - return count + " search results for '" + searchterm + "':"; - } - } - - function formatSearchResult(result, searchterms) { - var teaser = makeTeaser(escapeHTML(result.doc.body), searchterms); - teaser_count++; - - // The ?URL_MARK_PARAM= parameter belongs inbetween the page and the #heading-anchor - var url = doc_urls[result.ref].split("#"); - if (url.length == 1) { // no anchor found - url.push(""); - } - - // encodeURIComponent escapes all chars that could allow an XSS except - // for '. Due to that we also manually replace ' with its url-encoded - // representation (%27). - var searchterms = encodeURIComponent(searchterms.join(" ")).replace(/\'/g, "%27"); - - return '' + result.doc.breadcrumbs + '' - + '' - + teaser + ''; - } - - function makeTeaser(body, searchterms) { - // The strategy is as follows: - // First, assign a value to each word in the document: - // Words that correspond to search terms (stemmer aware): 40 - // Normal words: 2 - // First word in a sentence: 8 - // Then use a sliding window with a constant number of words and count the - // sum of the values of the words within the window. Then use the window that got the - // maximum sum. If there are multiple maximas, then get the last one. - // Enclose the terms in . - var stemmed_searchterms = searchterms.map(function(w) { - return elasticlunr.stemmer(w.toLowerCase()); - }); - var searchterm_weight = 40; - var weighted = []; // contains elements of ["word", weight, index_in_document] - // split in sentences, then words - var sentences = body.toLowerCase().split('. 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' - }; - - if (weighted.length == 0) { - return body; - } - - var window_weight = []; - var window_size = Math.min(weighted.length, results_options.teaser_word_count); - - var cur_sum = 0; - for (var wordindex = 0; wordindex < window_size; wordindex++) { - cur_sum += weighted[wordindex][1]; - }; - window_weight.push(cur_sum); - for (var wordindex = 0; wordindex < weighted.length - window_size; wordindex++) { - cur_sum -= weighted[wordindex][1]; - cur_sum += weighted[wordindex + window_size][1]; - window_weight.push(cur_sum); - }; - - if (searchterm_found) { - var max_sum = 0; - var max_sum_window_index = 0; - // backwards - for (var i = window_weight.length - 1; i >= 0; i--) { - if (window_weight[i] > max_sum) { - max_sum = window_weight[i]; - max_sum_window_index = i; - } - }; - } else { - max_sum_window_index = 0; - } - - // add around searchterms - var teaser_split = []; - var index = weighted[max_sum_window_index][2]; - for (var i = max_sum_window_index; i < max_sum_window_index+window_size; i++) { - var word = weighted[i]; - if (index < word[2]) { - // missing text from index to start of `word` - teaser_split.push(body.substring(index, word[2])); - index = word[2]; - } - if (word[1] == searchterm_weight) { - teaser_split.push("") - } - index = word[2] + word[0].length; - teaser_split.push(body.substring(word[2], index)); - if (word[1] == searchterm_weight) { - teaser_split.push("") - } - }; - - return teaser_split.join(''); - } - - function init(config) { - results_options = config.results_options; - search_options = config.search_options; - searchbar_outer = config.searchbar_outer; - doc_urls = config.doc_urls; - searchindex = elasticlunr.Index.load(config.index); - - // Set up events - searchicon.addEventListener('click', function(e) { searchIconClickHandler(); }, false); - searchbar.addEventListener('keyup', function(e) { searchbarKeyUpHandler(); }, false); - document.addEventListener('keydown', function(e) { globalKeyHandler(e); }, false); - // If the user uses the browser buttons, do the same as if a reload happened - window.onpopstate = function(e) { doSearchOrMarkFromUrl(); }; - // Suppress "submit" events so the page doesn't reload when the user presses Enter - document.addEventListener('submit', function(e) { e.preventDefault(); }, false); - - // If reloaded, do the search or mark again, depending on the current url parameters - doSearchOrMarkFromUrl(); - } - - function unfocusSearchbar() { - // hacky, but just focusing a div only works once - var tmp = document.createElement('input'); - tmp.setAttribute('style', 'position: absolute; opacity: 0;'); - searchicon.appendChild(tmp); - tmp.focus(); - tmp.remove(); - } - - // On reload or browser history backwards/forwards events, parse the url and do search or mark - function doSearchOrMarkFromUrl() { - // Check current URL for search request - var url = parseURL(window.location.href); - if (url.params.hasOwnProperty(URL_SEARCH_PARAM) - && url.params[URL_SEARCH_PARAM] != "") { - showSearch(true); - searchbar.value = decodeURIComponent( - (url.params[URL_SEARCH_PARAM]+'').replace(/\+/g, '%20')); - searchbarKeyUpHandler(); // -> doSearch() - } else { - showSearch(false); - } - - if (url.params.hasOwnProperty(URL_MARK_PARAM)) { - var words = decodeURIComponent(url.params[URL_MARK_PARAM]).split(' '); - marker.mark(words, { - exclude: mark_exclude - }); - - var markers = document.querySelectorAll("mark"); - function hide() { - for (var i = 0; i < markers.length; i++) { - markers[i].classList.add("fade-out"); - window.setTimeout(function(e) { marker.unmark(); }, 300); - } - } - for (var i = 0; i < markers.length; i++) { - markers[i].addEventListener('click', hide); - } - } - } - - // Eventhandler for keyevents on `document` - function globalKeyHandler(e) { - if (e.altKey || e.ctrlKey || e.metaKey || e.shiftKey || e.target.type === 'textarea' || e.target.type === 'text') { return; } - - if (e.keyCode === ESCAPE_KEYCODE) { - e.preventDefault(); - searchbar.classList.remove("active"); - setSearchUrlParameters("", - (searchbar.value.trim() !== "") ? 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It requires a lot of specialized knowledge. One has to take into account the file system, server topology, different traffic sources and access patterns among other things. This is not feasible for the average HPC user, as they neither have the permissions nor the time or knowledge for this type of sophisticated analysis. Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers. Blackheap approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone.","breadcrumbs":"Introduction » Introduction","id":"0","title":"Introduction"},"1":{"body":"We designed Blackheap with the following goals in mind: Single binary without external dependencies No required configuration Self-contained, automatic end-to-end workflow Setup agnostic classification (remote or local storage) Distribution agnostic: Any glibc-based Linux distribution will suffice No root required Easy to build: only non-userspace dependencies are glibc, gcc and make","breadcrumbs":"Introduction » Goals","id":"1","title":"Goals"},"10":{"body":"In real computations, our actual formula is defined as \\[ \\hat{f}(x) = \\frac{1}{Nh} \\sum_{i=1}^N K\\left(\\frac{x-x_i}{h}\\right) \\] where \\(h > 0\\) is the so-called bandwidth . The bandwidth describes how the kernel needs to be scaled. We use the commonly used Silverman's rule of thumb , provided by the criterion_stats package.","breadcrumbs":"Workflow » Analysis » The bandwidth problem","id":"10","title":"The bandwidth problem"},"11":{"body":"Now that we have a proper kernel density estimation for each characteristic and access time, we can further analyze our measurements. At the time of this writing, we associate the time upper bound with the most likely access time, i.e. the global maximum of the corresponding KDE. In the future, we want to use more sophisticated cluster detection for creating multiple regression functions. We currently already create clusters, although they are not yet used in the actual classification. They can be seen via the web interface.","breadcrumbs":"Workflow » Analysis » Cluster detection","id":"11","title":"Cluster detection"},"12":{"body":"A cluster is defined by a local maximum and it's surrounding local minima. Note that the fastest and slowest access times are automatically the outer local minima. At first, we just naively compute all cluster by numerically approximating their extrema. Next, we try to find the \"significant\" clusters. A cluster is significant if and only if \\[ \\max_i - \\min_{i+1} \\geq 0.1 \\cdot \\text{global_max} \\] If a cluster is not significant, it gets merged into the last significant cluster.","breadcrumbs":"Workflow » Analysis » Our cluster algorithm","id":"12","title":"Our cluster algorithm"},"13":{"body":"After creating and analyzing the KDEs, we now have for each type of benchmark many points (access_size, time_of_global_maximum). Now we have to create a predictive model from those points. We currently have 2 different approaches:","breadcrumbs":"Workflow » Model Creation » Model Creation","id":"13","title":"Model Creation"},"14":{"body":"In order to create a linear model we do a least square linear regression on each points of a given type of benchmark. The regression functionality is provided by the great linregress library.","breadcrumbs":"Workflow » Model Creation » Linear Model","id":"14","title":"Linear Model"},"15":{"body":"This model works with the following assumption: We should expect linear speed below 4096 bytes, as this is the default page cache size. Thus we use a piecewise function. The piecewise function is defined as follows: def f(x): if x <= 4096: return global_maximum(1, 4096) else: return linear_model_beginning_at(4096)","breadcrumbs":"Workflow » Model Creation » ConstLinear Model","id":"15","title":"ConstLinear Model"},"16":{"body":"We have a very specific and unusual architecture: Our benchmarker is written in C Our frontend is written in React (Typescript) The modelling logic and main program is written in Rust Note that those components are actually 3 different standalone programs, not just libraries linked together. Although those programs are fully functional on their own, blackheap still provides a fully automated process; no user input is required. Moreover, blackheap is shipped as a single binary, see the build process for more .","breadcrumbs":"Architecture » Architecture","id":"16","title":"Architecture"},"17":{"body":"At first, the rust program generates the proper parameters for each benchmark run. It then sequentially spawns a new process for each run. After each run the results get saved to disk. This allows reproducibility as well as reanalyzing old benchmarks once new models are developed. After all benchmarks were run, the rust program processes the same results as described above. It then saves the generated models. It lastly also saves a single HTML file based frontend for local analysis, see the local workflow for more information. Note that this tool can be used without a local web server, since all assets are transpiled into one HTML file. See the build section for more.","breadcrumbs":"Architecture » How does this work?","id":"17","title":"How does this work?"},"18":{"body":"The intial prototype was written in Python3. But, especially in lightweight HPC environments running old RHEL-based distributions, Python3 often is not installed. Although solutions like pyenv exist, bootstrapping Python is not always trivial. Thus we wanted to create a dependency-less binary while keeping most advantages provided by the Python ecosystem. This is why we used Rust. Rust offers a huge high level ecosystem with cargo. Rust has zero runtime dependencies and bootstrapping Rust via rustup requires no preinstalled libraries. Furthermore, most Rust libraries don't have any 3rd party non-cargo dependencies as well.","breadcrumbs":"Architecture » Why was Rust chosen?","id":"18","title":"Why was Rust chosen?"},"19":{"body":"Despire Rust being a very performant programming language with very little performance overhead, it didn't suffice for our benchmarks. In order to get the best possible accuracy, we need to stay as near to the kernel API as possible. Also, some calls like lseek aren't even available in the Rust stdlib.","breadcrumbs":"Architecture » Why was C chosen?","id":"19","title":"Why was C chosen?"},"2":{"body":"The internal workflow can be summarized as follows: At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache. After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time. Lastly, we take all those upper bounds and create a predictive model via linear regression.","breadcrumbs":"Introduction » High Level Workflow","id":"2","title":"High Level Workflow"},"20":{"body":"Rust plotting libraries are either very immature or have hard dependencies on 3rd-Party libraries. Since it was impractical to implement a plotting library from scratch, we chose to take advantage of the enormous Web ecosystem. We chose React since it is the most used frontend framework, which maximizes the likelyhood of being easy to maintain in the future. We furthermore chose Plotly as a plotting library since it has enough commercial support to secure its future maintenance.","breadcrumbs":"Architecture » Why was React / TS chosen?","id":"20","title":"Why was React / TS chosen?"},"21":{"body":"","breadcrumbs":"Building » How to Build Blackheap","id":"21","title":"How to Build Blackheap"},"22":{"body":"Have a glibc based linux distribution (no alpine support) Required: gcc Optionally: make","breadcrumbs":"Building » Prerequisites","id":"22","title":"Prerequisites"},"23":{"body":"In order to compile it locally, we need the followind userspace tooling. This can be skipped if the tools are installed globally.","breadcrumbs":"Building » Setting up userspace tooling","id":"23","title":"Setting up userspace tooling"},"24":{"body":"The easiest way to install node is via the Node version manager . After installing nvm and reloading your shellrc node can be installed via nvm install node --lts\nnvm use node --lts This automatically installs npm as well.","breadcrumbs":"Building » Node and npm","id":"24","title":"Node and npm"},"25":{"body":"If node and npm are already installed, yarn can be globally installed via npm i -g yarn","breadcrumbs":"Building » yarn","id":"25","title":"yarn"},"26":{"body":"The easiest way to install Rust is via rustup . It should automatically install the newest stable version.","breadcrumbs":"Building » rustc + cargo","id":"26","title":"rustc + cargo"},"27":{"body":"If everything worked, blackheap should be buildable via make.","breadcrumbs":"Building » Building Blackheap","id":"27","title":"Building Blackheap"},"28":{"body":"The single node setup allows for local classification of I/O requests. This standalone process requires no remote server or any kind of running database. Additionally, no changes to the binary or workflow are required.","breadcrumbs":"Local Single Node Setup » Local Single Node Setup","id":"28","title":"Local Single Node Setup"},"29":{"body":"After compiling, the performance model can be generated by running blackheap. No further configuration is required. One should run the benchmarks on the same decice as the program which one wants to analyze. The path used can be speicifed with the --file parameter, see blackheap --help for more information.","breadcrumbs":"Local Single Node Setup » Creating a performance model","id":"29","title":"Creating a performance model"},"3":{"body":"Blackheap is based on Julian Kunkels 2015 paper \" Identifying Relevant Factors in the I/O-Path using Statistical Methods \" ( BibTeX ).","breadcrumbs":"Introduction » Further Ressources","id":"3","title":"Further Ressources"},"30":{"body":"After running blackheap, a model folder will be created. The default path is ./default-model, although this can be changed with the --to parameter. In this folder, the single file web-frontend is contained, named index.html. This can be viewed with any device and any modern browser; no extra webserver is required. After loading the generated Model.json, the analyzed data gets plotted for manual analysis.","breadcrumbs":"Local Single Node Setup » Analyzing the created model","id":"30","title":"Analyzing the created model"},"31":{"body":"In order to locally measure any I/O requests, we preload custom I/O functions interjecting any I/O requests. Those I/O functions trace the time taken for each operation. This is done through the LD_PRELOAD environment variable. The Linux manual defines it as follows: \"A list of additional, user-specified, ELF shared objects to be loaded before all others. This feature can be used to selectively override functions in other shared objects.\" For a great introduction see \"The LD_PRELOAD trick\" . Our preloadee can be found under ./preloadee. It can be built via make. Afterwards, the measurements are done by running the to-be-analyzed binary with the preloaded library injected, i.e. LD_PRELOAD=./build/preloadee.so /path/to/my/program This will produce a CSV file in the current working directory. This file can then be analyzed locally by the aforementioned web-frontend.","breadcrumbs":"Local Single Node Setup » Using the created model locally","id":"31","title":"Using the created model locally"},"32":{"body":"Blackheap also allows for aggregated, streamed classification to a remote TSDB via iofs . iofs is a FUSE based tool for measuring I/O requests. It works by remounting a file system, then interjecting any incoming I/O requests. See the iofs documentation for more information. This allows for aggregate remote analysis of multiple nodes. It currently supports any monitoring system that is based on Influxdb. In our internal use case, it is used in combinaton with Grafana. Again, no changes to the recorded software binary is required, although some configuration may be needed in order to write to the correct mount point.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Streamed Multi Node Classifications with iofs","id":"32","title":"Streamed Multi Node Classifications with iofs"},"33":{"body":"Here we have a the chicken and the egg type of problem: On the one hand, we want to do access classification based on the expected values of the FUSE file system. On the other hand, we theoretically already need those classifications before starting iofs. This is a complex open problem . As mentioned in the issue, there are basically two solutions. For now, this documentation will rely on the first idea since it cannot be assumed that one has that much computing time to create two seperate classification models. Feel free to use the other approach instead if you want, found in the issue as well.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Setup","id":"33","title":"Setup"},"34":{"body":"Of course, iofs has to be built first. See the related iofs documentation for more. After that, iofs should be mounted with a fake set of models in order to have the approximately correct overhead for I/O requests. Download them here related to their CLI parameter name: constant-linear (DEFAULT): here linear: here After that, mount iofs via ./iofs /new/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv or, if InfluxDB should be used: iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 0: Build iofs; mount it with fake classifications","id":"34","title":"Step 0: Build iofs; mount it with fake classifications"},"35":{"body":"Note: This, of course, will stream wrong data to Influx. But that is okay. We just want to have the correct data produced by blackheap, which requires the correct request time overhead. So, now the correct performance model can be created using blackheap. This requires that the benchmark is done on the iofs FUSE file system, which can be controlled via the --file parameter. Therefore, the minimal call would be blackheap --file /path/to/somewhere/within/the/mountpoint Afterwards, a model will be created at $PWD/default_model. This can be controlled via --to. See blackheap --help for more.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 1: Create a performance model using the fake initial classifications","id":"35","title":"Step 1: Create a performance model using the fake initial classifications"},"36":{"body":"Unmount iofs and remount with the newly created default_model/iofs.csv. Otherwise, the parameters are the same as in Step 0. Afterwards, it should record and classify the I/O requests according to the performance model created.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 2: Remount iofs with the real classifications","id":"36","title":"Step 2: Remount iofs with the real classifications"},"37":{"body":"We provide a full docker-compose setup for InfluxDB+Grafana in the iofs repository . 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I/O requets is very difficult. It requires a lot of specialized knowledge. One has to take into account the file system, server topology, different traffic sources and access patterns among other things. This is not feasible for the average HPC user, as they neither have the permissions nor the time or knowledge for this type of sophisticated analysis. Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers. Blackheap approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone.","breadcrumbs":"Introduction » Introduction","id":"0","title":"Introduction"},"1":{"body":"We designed Blackheap with the following goals in mind: Single binary without external dependencies No required configuration Self-contained, automatic end-to-end workflow Setup agnostic classification (remote or local storage) Distribution agnostic: Any glibc-based Linux distribution will suffice No root required Easy to build: only non-userspace dependencies are glibc, gcc and make","breadcrumbs":"Introduction » Goals","id":"1","title":"Goals"},"10":{"body":"In real computations, our actual formula is defined as \\[ \\hat{f}(x) = \\frac{1}{Nh} \\sum_{i=1}^N K\\left(\\frac{x-x_i}{h}\\right) \\] where \\(h > 0\\) is the so-called bandwidth . The bandwidth describes how the kernel needs to be scaled. We use the commonly used Silverman's rule of thumb , provided by the criterion_stats package.","breadcrumbs":"Workflow » Analysis » The bandwidth problem","id":"10","title":"The bandwidth problem"},"11":{"body":"Now that we have a proper kernel density estimation for each characteristic and access time, we can further analyze our measurements. At the time of this writing, we associate the time upper bound with the most likely access time, i.e. the global maximum of the corresponding KDE. In the future, we want to use more sophisticated cluster detection for creating multiple regression functions. We currently already create clusters, although they are not yet used in the actual classification. They can be seen via the web interface.","breadcrumbs":"Workflow » Analysis » Cluster detection","id":"11","title":"Cluster detection"},"12":{"body":"A cluster is defined by a local maximum and it's surrounding local minima. Note that the fastest and slowest access times are automatically the outer local minima. At first, we just naively compute all cluster by numerically approximating their extrema. Next, we try to find the \"significant\" clusters. A cluster is significant if and only if \\[ \\max_i - \\min_{i+1} \\geq 0.1 \\cdot \\text{global_max} \\] If a cluster is not significant, it gets merged into the last significant cluster.","breadcrumbs":"Workflow » Analysis » Our cluster algorithm","id":"12","title":"Our cluster algorithm"},"13":{"body":"After creating and analyzing the KDEs, we now have for each type of benchmark many points (access_size, time_of_global_maximum). Now we have to create a predictive model from those points. We currently have 2 different approaches:","breadcrumbs":"Workflow » Model Creation » Model Creation","id":"13","title":"Model Creation"},"14":{"body":"In order to create a linear model we do a least square linear regression on each points of a given type of benchmark. The regression functionality is provided by the great linregress library.","breadcrumbs":"Workflow » Model Creation » Linear Model","id":"14","title":"Linear Model"},"15":{"body":"This model works with the following assumption: We should expect linear speed below 4096 bytes, as this is the default page cache size. Thus we use a piecewise function. The piecewise function is defined as follows: def f(x): if x <= 4096: return global_maximum(1, 4096) else: return linear_model_beginning_at(4096)","breadcrumbs":"Workflow » Model Creation » ConstLinear Model","id":"15","title":"ConstLinear Model"},"16":{"body":"We have a very specific and unusual architecture: Our benchmarker is written in C Our frontend is written in React (Typescript) The modelling logic and main program is written in Rust Note that those components are actually 3 different standalone programs, not just libraries linked together. Although those programs are fully functional on their own, blackheap still provides a fully automated process; no user input is required. Moreover, blackheap is shipped as a single binary, see the build process for more .","breadcrumbs":"Architecture » Architecture","id":"16","title":"Architecture"},"17":{"body":"At first, the rust program generates the proper parameters for each benchmark run. It then sequentially spawns a new process for each run. After each run the results get saved to disk. This allows reproducibility as well as reanalyzing old benchmarks once new models are developed. After all benchmarks were run, the rust program processes the same results as described above. It then saves the generated models. It lastly also saves a single HTML file based frontend for local analysis, see the local workflow for more information. Note that this tool can be used without a local web server, since all assets are transpiled into one HTML file. See the build section for more.","breadcrumbs":"Architecture » How does this work?","id":"17","title":"How does this work?"},"18":{"body":"The intial prototype was written in Python3. But, especially in lightweight HPC environments running old RHEL-based distributions, Python3 often is not installed. Although solutions like pyenv exist, bootstrapping Python is not always trivial. Thus we wanted to create a dependency-less binary while keeping most advantages provided by the Python ecosystem. This is why we used Rust. Rust offers a huge high level ecosystem with cargo. Rust has zero runtime dependencies and bootstrapping Rust via rustup requires no preinstalled libraries. Furthermore, most Rust libraries don't have any 3rd party non-cargo dependencies as well.","breadcrumbs":"Architecture » Why was Rust chosen?","id":"18","title":"Why was Rust chosen?"},"19":{"body":"Despire Rust being a very performant programming language with very little performance overhead, it didn't suffice for our benchmarks. In order to get the best possible accuracy, we need to stay as near to the kernel API as possible. Also, some calls like lseek aren't even available in the Rust stdlib.","breadcrumbs":"Architecture » Why was C chosen?","id":"19","title":"Why was C chosen?"},"2":{"body":"The internal workflow can be summarized as follows: At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache. After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time. Lastly, we take all those upper bounds and create a predictive model via linear regression.","breadcrumbs":"Introduction » High Level Workflow","id":"2","title":"High Level Workflow"},"20":{"body":"Rust plotting libraries are either very immature or have hard dependencies on 3rd-Party libraries. Since it was impractical to implement a plotting library from scratch, we chose to take advantage of the enormous Web ecosystem. We chose React since it is the most used frontend framework, which maximizes the likelyhood of being easy to maintain in the future. We furthermore chose Plotly as a plotting library since it has enough commercial support to secure its future maintenance.","breadcrumbs":"Architecture » Why was React / TS chosen?","id":"20","title":"Why was React / TS chosen?"},"21":{"body":"","breadcrumbs":"Building » How to Build Blackheap","id":"21","title":"How to Build Blackheap"},"22":{"body":"Have a glibc based linux distribution (no alpine support) Required: gcc Optionally: make","breadcrumbs":"Building » Prerequisites","id":"22","title":"Prerequisites"},"23":{"body":"In order to compile it locally, we need the followind userspace tooling. This can be skipped if the tools are installed globally.","breadcrumbs":"Building » Setting up userspace tooling","id":"23","title":"Setting up userspace tooling"},"24":{"body":"The easiest way to install node is via the Node version manager . After installing nvm and reloading your shellrc node can be installed via nvm install node --lts\nnvm use node --lts This automatically installs npm as well.","breadcrumbs":"Building » Node and npm","id":"24","title":"Node and npm"},"25":{"body":"If node and npm are already installed, yarn can be globally installed via npm i -g yarn","breadcrumbs":"Building » yarn","id":"25","title":"yarn"},"26":{"body":"The easiest way to install Rust is via rustup . It should automatically install the newest stable version.","breadcrumbs":"Building » rustc + cargo","id":"26","title":"rustc + cargo"},"27":{"body":"If everything worked, blackheap should be buildable via make.","breadcrumbs":"Building » Building Blackheap","id":"27","title":"Building Blackheap"},"28":{"body":"The single node setup allows for local classification of I/O requests. This standalone process requires no remote server or any kind of running database. Additionally, no changes to the binary or workflow are required.","breadcrumbs":"Local Single Node Setup » Local Single Node Setup","id":"28","title":"Local Single Node Setup"},"29":{"body":"After compiling, the performance model can be generated by running blackheap. No further configuration is required. One should run the benchmarks on the same decice as the program which one wants to analyze. The path used can be speicifed with the --file parameter, see blackheap --help for more information.","breadcrumbs":"Local Single Node Setup » Creating a performance model","id":"29","title":"Creating a performance model"},"3":{"body":"Blackheap is based on Julian Kunkels 2015 paper \" Identifying Relevant Factors in the I/O-Path using Statistical Methods \" ( BibTeX ).","breadcrumbs":"Introduction » Further Ressources","id":"3","title":"Further Ressources"},"30":{"body":"After running blackheap, a model folder will be created. The default path is ./default-model, although this can be changed with the --to parameter. In this folder, the single file web-frontend is contained, named index.html. This can be viewed with any device and any modern browser; no extra webserver is required. After loading the generated Model.json, the analyzed data gets plotted for manual analysis.","breadcrumbs":"Local Single Node Setup » Analyzing the created model","id":"30","title":"Analyzing the created model"},"31":{"body":"In order to locally measure any I/O requests, we preload custom I/O functions interjecting any I/O requests. Those I/O functions trace the time taken for each operation. This is done through the LD_PRELOAD environment variable. The Linux manual defines it as follows: \"A list of additional, user-specified, ELF shared objects to be loaded before all others. This feature can be used to selectively override functions in other shared objects.\" For a great introduction see \"The LD_PRELOAD trick\" . Our preloadee can be found under ./preloadee. It can be built via make. Afterwards, the measurements are done by running the to-be-analyzed binary with the preloaded library injected, i.e. LD_PRELOAD=./build/preloadee.so /path/to/my/program This will produce a CSV file in the current working directory. This file can then be analyzed locally by the aforementioned web-frontend.","breadcrumbs":"Local Single Node Setup » Using the created model locally","id":"31","title":"Using the created model locally"},"32":{"body":"Blackheap also allows for aggregated, streamed classification to a remote TSDB via iofs . iofs is a FUSE based tool for measuring I/O requests. It works by remounting a file system, then interjecting any incoming I/O requests. See the iofs documentation for more information. This allows for aggregate remote analysis of multiple nodes. It currently supports any monitoring system that is based on Influxdb. In our internal use case, it is used in combinaton with Grafana. Again, no changes to the recorded software binary is required, although some configuration may be needed in order to write to the correct mount point.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Streamed Multi Node Classifications with iofs","id":"32","title":"Streamed Multi Node Classifications with iofs"},"33":{"body":"Here we have a the chicken and the egg type of problem: On the one hand, we want to do access classification based on the expected values of the FUSE file system. On the other hand, we theoretically already need those classifications before starting iofs. This is a complex open problem . As mentioned in the issue, there are basically two solutions. For now, this documentation will rely on the first idea since it cannot be assumed that one has that much computing time to create two seperate classification models. Feel free to use the other approach instead if you want, found in the issue as well.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Setup","id":"33","title":"Setup"},"34":{"body":"Of course, iofs has to be built first. See the related iofs documentation for more. After that, iofs should be mounted with a fake set of models in order to have the approximately correct overhead for I/O requests. Download them here related to their CLI parameter name: constant-linear (DEFAULT): here linear: here After that, mount iofs via ./iofs /new/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv or, if InfluxDB should be used: iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 0: Build iofs; mount it with fake classifications","id":"34","title":"Step 0: Build iofs; mount it with fake classifications"},"35":{"body":"Note: This, of course, will stream wrong data to Influx. But that is okay. We just want to have the correct data produced by blackheap, which requires the correct request time overhead. So, now the correct performance model can be created using blackheap. This requires that the benchmark is done on the iofs FUSE file system, which can be controlled via the --file parameter. Therefore, the minimal call would be blackheap --file /path/to/somewhere/within/the/mountpoint Afterwards, a model will be created at $PWD/default_model. This can be controlled via --to. See blackheap --help for more.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 1: Create a performance model using the fake initial classifications","id":"35","title":"Step 1: Create a performance model using the fake initial classifications"},"36":{"body":"Unmount iofs and remount with the newly created default_model/iofs.csv. Otherwise, the parameters are the same as in Step 0. Afterwards, it should record and classify the I/O requests according to the performance model created.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Step 2: Remount iofs with the real classifications","id":"36","title":"Step 2: Remount iofs with the real classifications"},"37":{"body":"We provide a full docker-compose setup for InfluxDB+Grafana in the iofs repository . After the setup data can be streamed by mounting iofs with iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb See the iofs documentation for more information.","breadcrumbs":"Streamed Multi Node Classifications with iofs » Setting up Grafana and InfluxDB for Remote Analysis","id":"37","title":"Setting up Grafana and InfluxDB for Remote Analysis"},"38":{"body":"Those aren't actually frequently asked questions, but questions we anticipated or topics that didn't fit the documentation flow.","breadcrumbs":"FAQ » Frequently Asked Questions (FAQ)","id":"38","title":"Frequently Asked Questions (FAQ)"},"39":{"body":"Blackheap consists of 3 different programs written in C, Typescript and Rust respectively. A more detailed explanation of the architecture and its reasoning behind it can be found under Architecture . In this section blackheap's build process is explained. To make this as language independent as possible, it is orchestrated using a Makefile.","breadcrumbs":"FAQ » How does the Build Process work? » How does the Build Process work?","id":"39","title":"How does the Build Process work?"},"4":{"body":"","breadcrumbs":"Workflow » Workflow","id":"4","title":"Workflow"},"40":{"body":"First, the benchmarker written in C is compiled. gcc is used as compiler; the compilation process is managed by a second Makefile. At the end, the built binary gets moved into the rust source code directory.","breadcrumbs":"FAQ » How does the Build Process work? » Step 1: Building the Benchmarker","id":"40","title":"Step 1: Building the Benchmarker"},"41":{"body":"The next step is to build the web-frontend. This is a React frontend based on CRA . yarn is used as a package manager. First the project gets installed via yarn. Here all external node-modules dependencies are resolved. After that a minimized, production level optimized single HTML file gets built. At the end, this HTML file also gets moved into the rust directory.","breadcrumbs":"FAQ » How does the Build Process work? » Step 2: Building the Web-Frontend","id":"41","title":"Step 2: Building the Web-Frontend"},"42":{"body":"The last thing to be built is the Rust binary. Here the previously built C and TS programs are embedded as binary BLOBs within the main program. Hence, the Rust program can ship the other software optimized for the current architecture at runtime and blackheap can be deployed as a single binary.","breadcrumbs":"FAQ » How does the Build Process work? » Step 3: Building the Main Program","id":"42","title":"Step 3: Building the Main Program"},"43":{"body":"We depend on the GNU C library glibc for multiple reasons: It provides the most accurate clock via CLOCK_MONOTONIC . It is required for O_DIRECT file access It provides argp as a better argument parsing alternative to the POSIX getopt .","breadcrumbs":"FAQ » Why do we depend on glibc? » Why do we require depend on glibc?","id":"43","title":"Why do we require depend on glibc?"},"44":{"body":"In blackheap, we use a blackbox methodology for classifying I/O requests. So \"blackbox\" would be a obvious name choice. Of course, this would be a horrible name: Not only for SEO reasons but also for general name collisions. In Rust, the Box<> is the simplest data type to provide a smart pointer. Basically, if you put something in a Box, you store it on the Heap while the only thing put on the stack is the corresponding pointer. Thus, substituting Box in blackheap for being a pointer on the heap, we have blackheap !","breadcrumbs":"FAQ » Why the name Blackheap? » Why the Name Blackheap?","id":"44","title":"Why the Name Blackheap?"},"5":{"body":"The workflow can be split into 3 parts: Generating performance measurements via different benchmarks Analyzing the benchmarks Creating a predictive performance model based on the single analyses Note that Blackheap does all of those 3 steps automatically, no manual work is required!","breadcrumbs":"Workflow » Overview","id":"5","title":"Overview"},"6":{"body":"In order to create accurate benchmarks of specific characteristics, we created the blackheap-benchmark benchmarker, which is based on io-modelling . It is standalone, configurable via CLI parameters and prints any JSON output to stdout. When using the blackheap-modeller , maunal interaction with the benchmarker is not requried.","breadcrumbs":"Workflow » Benchmark » Creating Benchmarks","id":"6","title":"Creating Benchmarks"},"7":{"body":"It supports the following parameters: -r/-w for either read or write operations --file-pattern/--mem-pattern for the access pattern of the file system or memory buffer. The following patterns are implemented off0: Always use the same to the same offset seq: Read/Write sequentially rnd: Change the offset randomly after every I/O operation. --access-size: The size of each I/O operation. This is primarily used to create different measurements of the same characteristics. --file: On which file the benchmark should run. Note that the file at the given path will be zeroed out. Use this setting to implicitly set which file system is getting benchmarked. --file-buf/--mem-buf: The size of the corresponding buffers in bytes. Note that the file buffer actually gets allocated via successive write operations; no fallocate is used. --repeats The number of measurements with a given configuration. --delete-afterwards: Whether the file should be deleted after the benchmark is done. This can be used to remove any page caching between benchmarks. Obviously, not deleting the file can significantly reduce the execution time of further benchmarks. --drop-cache: Drops the page cache via /proc/sys/vm/drop_caches --free-ram Aritificially allocates RAM until the number of bytes are met. This restriction is done in order to force cache eviction. --o-direct: Uses Linux Direct I/O (see O_DIRECT) --reread: Read each block twice, just benchmark the second time. This is used to get cache speeds.","breadcrumbs":"Workflow » Benchmark » Parameters","id":"7","title":"Parameters"},"8":{"body":"After each benchmark, we get a lot of points (access_size, time) for each characteristics. 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diff --git a/docs/src/Architecture.md b/docs/src/Architecture.md deleted file mode 100644 index bf66e06..0000000 --- a/docs/src/Architecture.md +++ /dev/null @@ -1,36 +0,0 @@ -# Architecture - -We have a very specific and unusual architecture: - -- Our benchmarker is written in C -- Our frontend is written in React (Typescript) -- The modelling logic and main program is written in Rust - -Note that those components are actually 3 different standalone programs, not just libraries linked together. Although those programs are fully functional on their own, blackheap still provides a fully automated process; no user input is required. Moreover, blackheap is shipped as a single binary, see [the build process for more](./FAQ/BuildProcess.md). - -## How does this work? - -At first, the rust program generates the proper parameters for each benchmark run. It then sequentially spawns a new process for each run. After each run the results get saved to disk. This allows reproducibility as well as reanalyzing old benchmarks once new models are developed. - -After all benchmarks were run, the rust program processes the same results as described above. It then saves the generated models. - -It lastly also saves a single HTML file based frontend for local analysis, see [the local workflow](./SingleNode.md) for more information. Note that this tool can be used without a local web server, since all assets are transpiled into one HTML file. See [the build section](./FAQ/BuildProcess.md) for more. - -## Why was Rust chosen? -The intial prototype was written in Python3. But, especially in lightweight HPC environments running old RHEL-based distributions, Python3 often is not installed. - -Although solutions like [pyenv](https://github.com/pyenv/pyenv) exist, bootstrapping Python is not always trivial. Thus we wanted to create a dependency-less binary while keeping most advantages provided by the Python ecosystem. - -This is why we used Rust. Rust offers a huge high level ecosystem with `cargo`. Rust has zero runtime dependencies and bootstrapping Rust via [`rustup`](https://rustup.rs/) requires no preinstalled libraries. - -Furthermore, most Rust libraries don't have any 3rd party non-cargo dependencies as well. - -### Why was C chosen? - -Despire Rust being a very performant programming language with very little performance overhead, it didn't suffice for our benchmarks. In order to get the best possible accuracy, we need to stay as near to the kernel API as possible. Also, some calls like `lseek` aren't even available in the Rust stdlib. - -### Why was React / TS chosen? - -Rust plotting libraries are either very immature or have hard dependencies on 3rd-Party libraries. Since it was impractical to implement a plotting library from scratch, we chose to take advantage of the enormous Web ecosystem. - -We chose React since it is the most used frontend framework, which maximizes the likelyhood of being easy to maintain in the future. We furthermore chose Plotly as a plotting library since it has enough commercial support to secure its future maintenance. diff --git a/docs/src/Build.md b/docs/src/Build.md deleted file mode 100644 index 26b75f5..0000000 --- a/docs/src/Build.md +++ /dev/null @@ -1,31 +0,0 @@ -# How to Build Blackheap - -## Prerequisites -- Have a `glibc` based linux distribution (no alpine support) -- Required: `gcc` -- Optionally: `make` - -## Setting up userspace tooling -In order to compile it locally, we need the followind userspace tooling. This can be skipped if the tools are installed globally. - -### Node and npm -The easiest way to install node is via the [Node version manager](https://github.com/nvm-sh/nvm). After installing nvm and reloading your `shellrc` node can be installed via - -``` -nvm install node --lts -nvm use node --lts -``` - -This automatically installs npm as well. - -### yarn -If node and npm are already installed, yarn can be globally installed via -``` -npm i -g yarn -``` - -### rustc + cargo -The easiest way to install Rust is via [rustup](https://rustup.rs/). It should automatically install the newest stable version. - -## Building Blackheap -If everything worked, blackheap should be buildable via `make`. diff --git a/docs/src/DummyModels/constant-linear.csv b/docs/src/DummyModels/constant-linear.csv deleted file mode 100644 index 456f244..0000000 --- a/docs/src/DummyModels/constant-linear.csv +++ /dev/null @@ -1,9 +0,0 @@ -benchmark_type,is_read_op,slope,y_intercept,left_bound,right_bound -RandomUncached,1,0,0.00021607331040834844,0,4096 -RandomUncached,1,0.0000000020325584850924184,0.0011731711737977425,4096,0 -RandomUncached,0,0,0.0003236312162280187,0,4096 -RandomUncached,0,0.0000000014815996315583439,0.002128749346712081,4096,0 -SameOffset,1,0,0.0000007010388324066325,0,4096 -SameOffset,1,0.00000000016799986059959297,0.0000025782363232955017,4096,0 -SameOffset,0,0,0.000017366043882308604,0,4096 -SameOffset,0,0.0000000007752739186800398,-0.000012076612559917474,4096,0 \ No newline at end of file diff --git a/docs/src/DummyModels/linear.csv b/docs/src/DummyModels/linear.csv deleted file mode 100644 index ce80ab8..0000000 --- a/docs/src/DummyModels/linear.csv +++ /dev/null @@ -1,5 +0,0 @@ -benchmark_type,is_read_op,slope,y_intercept,left_bound,right_bound -RandomUncached,1,0.0000000020325584850924184,0.0011731711737977425,0,0 -RandomUncached,0,0.0000000014815996315583439,0.002128749346712081,0,0 -SameOffset,1,0.00000000016799986059959297,0.0000025782363232955017,0,0 -SameOffset,0,0.0000000007752739186800398,-0.000012076612559917474,0,0 diff --git a/docs/src/FAQ/BuildProcess.md b/docs/src/FAQ/BuildProcess.md deleted file mode 100644 index b071072..0000000 --- a/docs/src/FAQ/BuildProcess.md +++ /dev/null @@ -1,16 +0,0 @@ -# How does the Build Process work? - -Blackheap consists of 3 different programs written in C, Typescript and Rust respectively. A more detailed explanation of the architecture and its reasoning behind it can be found under [Architecture](../Architecture.md). In this section blackheap's build process is explained. To make this as language independent as possible, it is orchestrated using a Makefile. - -## Step 1: Building the Benchmarker -First, the benchmarker written in C is compiled. gcc is used as compiler; the compilation process is managed by a second Makefile. At the end, the built binary gets moved into the rust source code directory. - -## Step 2: Building the Web-Frontend - -The next step is to build the web-frontend. This is a React frontend based on [CRA](https://create-react-app.dev/). [yarn](https://yarnpkg.com/) is used as a package manager. - -First the project gets installed via yarn. Here all external node-modules dependencies are resolved. After that a minimized, production level optimized single HTML file gets built. At the end, this HTML file also gets moved into the rust directory. - -## Step 3: Building the Main Program - -The last thing to be built is the Rust binary. Here the previously built C and TS programs are embedded as binary BLOBs within the main program. Hence, the Rust program can ship the other software optimized for the current architecture at runtime and blackheap can be deployed as a single binary. diff --git a/docs/src/FAQ/Naming.md b/docs/src/FAQ/Naming.md deleted file mode 100644 index 25a56db..0000000 --- a/docs/src/FAQ/Naming.md +++ /dev/null @@ -1,7 +0,0 @@ -# Why the Name Blackheap? - -In blackheap, we use a __blackbox__ methodology for classifying I/O requests. So "blackbox" would be a obvious name choice. Of course, this would be a horrible name: Not only for SEO reasons but also for general name collisions. - -In Rust, the [`Box<>`](https://doc.rust-lang.org/book/ch15-01-box.html) is the simplest data type to provide a smart pointer. Basically, if you put something in a `Box`, you store it on the Heap while the only thing put on the stack is the corresponding pointer. - -Thus, substituting `Box` in blackheap for being a pointer on the heap, we have __blackheap__! diff --git a/docs/src/FAQ/README.md b/docs/src/FAQ/README.md deleted file mode 100644 index f723a5a..0000000 --- a/docs/src/FAQ/README.md +++ /dev/null @@ -1,3 +0,0 @@ -# Frequently Asked Questions (FAQ) - -Those aren't __actually__ frequently asked questions, but questions we anticipated or topics that didn't fit the documentation flow. diff --git a/docs/src/FAQ/glibc.md b/docs/src/FAQ/glibc.md deleted file mode 100644 index e910380..0000000 --- a/docs/src/FAQ/glibc.md +++ /dev/null @@ -1,7 +0,0 @@ -# Why do we require depend on glibc? - -We depend on [the GNU C library `glibc`](https://www.gnu.org/software/libc/) for multiple reasons: - -- It provides the [most accurate clock](https://stackoverflow.com/questions/12392278/measure-time-in-linux-time-vs-clock-vs-getrusage-vs-clock-gettime-vs-gettimeof/12480485#12480485) via [`CLOCK_MONOTONIC`](https://linux.die.net/man/2/clock_gettime). -- It is required for [`O_DIRECT`](https://man7.org/linux/man-pages/man2/open.2.html) file access -- It provides [`argp`](https://www.gnu.org/software/libc/manual/html_node/Argp.html) as a better argument parsing alternative to the POSIX [`getopt`](https://en.wikipedia.org/wiki/Getopt). diff --git a/docs/src/Introduction.md b/docs/src/Introduction.md deleted file mode 100644 index 9ebf582..0000000 --- a/docs/src/Introduction.md +++ /dev/null @@ -1,34 +0,0 @@ -# Introduction - -Analyzing I/O requets is very difficult. It requires a lot of specialized knowledge. One has to take into account the file system, server topology, different traffic sources and access patterns among other things. This is not feasible for the average HPC user, as they neither have the permissions nor the time or knowledge for this type of sophisticated analysis. - -Furthermore, any formal, deterministic analysis is impossible, since the access time is dependent on too many parameters. It is not practical to try to model the relevance of disk seek times or the linux block layer schedulers. - -[*Blackheap*](https://github.com/lquenti/blackheap) approaches this problem with a blackbox methology. It generates a predictive performance model based on the access time alone. - -## Goals - -We designed Blackheap with the following goals in mind: - -- Single binary without external dependencies -- No required configuration -- Self-contained, automatic end-to-end workflow -- Setup agnostic classification (remote or local storage) -- Distribution agnostic: Any glibc-based Linux distribution will suffice -- No root required -- Easy to build: only non-userspace dependencies are `glibc`, `gcc` and `make` - -## High Level Workflow - -The internal workflow can be summarized as follows: - -1. At first, we do a lot of benchmarks with different access patterns. Those access patterns are used to isolate different characteristics like hitting the page cache. - -2. After that, we analyze each benchmark run. By using a kernel density estimation, we find the most significant cluster. This cluster provides an upper bound for the expected time. - -3. Lastly, we take all those upper bounds and create a predictive model via linear regression. - -## Further Ressources - -Blackheap is based on [Julian Kunkels](https://hps.vi4io.org/about/people/julian_kunkel) 2015 paper "[Identifying Relevant Factors in the I/O-Path -using Statistical Methods](https://hps.vi4io.org/_media/research/publications/2015/dlirfitiusmk15-identifying_relevant_factors_in_the_i_o_path_using_statistical_methods.pdf)" ([BibTeX](https://hps.vi4io.org/bibtex?bibtex_source=publications&bibtex_key=IRFITIUSMK15)). diff --git a/docs/src/SUMMARY.md b/docs/src/SUMMARY.md deleted file mode 100644 index 3291e6a..0000000 --- a/docs/src/SUMMARY.md +++ /dev/null @@ -1,15 +0,0 @@ -# Summary - -- [Introduction](./Introduction.md) -- [Workflow](./Workflow/README.md) - - [Benchmark](./Workflow/Benchmark.md) - - [Analysis](./Workflow/Analysis.md) - - [Model Creation](./Workflow/ModelCreation.md) -- [Architecture](./Architecture.md) -- [Building](./Build.md) -- [Local Single Node Setup](./SingleNode.md) -- [Streamed Multi Node Classifications with iofs](./StreamedClassifications.md) -- [FAQ](./FAQ/README.md) - - [How does the Build Process work?](./FAQ/BuildProcess.md) - - [Why do we depend on glibc?](./FAQ/glibc.md) - - [Why the name Blackheap?](./FAQ/Naming.md) diff --git a/docs/src/SingleNode.md b/docs/src/SingleNode.md deleted file mode 100644 index 1b95394..0000000 --- a/docs/src/SingleNode.md +++ /dev/null @@ -1,35 +0,0 @@ -# Local Single Node Setup - -The single node setup allows for local classification of I/O requests. This standalone process requires no remote server or any kind of running database. Additionally, no changes to the binary or workflow are required. - -## Creating a performance model - -After compiling, the performance model can be generated by running `blackheap`. No further configuration is required. - -One should run the benchmarks on the same decice as the program which one wants to analyze. The path used can be speicifed with the `--file` parameter, see `blackheap --help` for more information. - -## Analyzing the created model - -After running `blackheap`, a model folder will be created. The default path is `./default-model`, although this can be changed with the `--to` parameter. - -In this folder, the single file web-frontend is contained, named `index.html`. This can be viewed with any device and any modern browser; no extra webserver is required. After loading the generated `Model.json`, the analyzed data gets plotted for manual analysis. - -## Using the created model locally - -In order to locally measure any I/O requests, we preload custom I/O functions interjecting any I/O requests. Those I/O functions trace the time taken for each operation. - -This is done through the `LD_PRELOAD` environment variable. [The Linux manual](https://man7.org/linux/man-pages/man8/ld-linux.so.8.html) defines it as follows: - -"A list of additional, user-specified, ELF shared objects to be loaded before all others. This feature can be used to selectively override functions in other shared objects." - -For a great introduction see ["The `LD_PRELOAD` trick"](http://www.goldsborough.me/c/low-level/kernel/2016/08/29/16-48-53-the_-ld_preload-_trick/). - -Our preloadee can be found under `./preloadee`. It can be built via `make`. - -Afterwards, the measurements are done by running the to-be-analyzed binary with the preloaded library injected, i.e. - -``` -LD_PRELOAD=./build/preloadee.so /path/to/my/program -``` - -This will produce a CSV file in the current working directory. This file can then be analyzed locally by the aforementioned web-frontend. diff --git a/docs/src/StreamedClassifications.md b/docs/src/StreamedClassifications.md deleted file mode 100644 index 5cfdd63..0000000 --- a/docs/src/StreamedClassifications.md +++ /dev/null @@ -1,64 +0,0 @@ -# Streamed Multi Node Classifications with iofs - -Blackheap also allows for aggregated, streamed classification to a remote TSDB via [iofs](https://github.com/gwdg/iofs). iofs is a FUSE based tool for measuring I/O requests. It works by remounting a file system, then interjecting any incoming I/O requests. See [the iofs documentation](https://gwdg.github.io/iofs/book/) for more information. - -This allows for aggregate remote analysis of multiple nodes. It currently supports any monitoring system that is based on Influxdb. In our internal use case, it is used in combinaton with Grafana. - -Again, no changes to the recorded software binary is required, although some configuration may be needed in order to write to the correct mount point. - -## Setup - -Here we have a the chicken and the egg type of problem: On the one hand, we want to do access classification based on the expected values of the FUSE file system. On the other hand, we theoretically already need those classifications before starting iofs. This is a complex [open problem](https://github.com/gwdg/iofs/issues/6). - -As mentioned in the issue, there are basically two solutions. For now, this documentation will rely on the first idea since it cannot be assumed that one has that much computing time to create two seperate classification models. Feel free to use the other approach instead if you want, found [in the issue](https://github.com/gwdg/iofs/issues/6) as well. - -### Step 0: Build iofs; mount it with fake classifications - -Of course, iofs has to be built first. See [the related iofs documentation](https://gwdg.github.io/iofs/book/setup/Installation.html) for more. - -After that, iofs should be mounted with a fake set of models in order to have the approximately correct overhead for I/O requests. Download them here related to their CLI parameter name: - -- constant-linear (DEFAULT): [here](./DummyModels/constant-linear.csv) -- linear: [here](./DummyModels/linear.csv) - -After that, mount iofs via - -``` -./iofs /new/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv -``` - -or, if InfluxDB should be used: - -``` -iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb -``` - -### Step 1: Create a performance model using the fake initial classifications - -Note: This, of course, will stream wrong data to Influx. But that is okay. We just want to have the correct data produced by blackheap, which requires the correct request time overhead. - -So, now the correct performance model can be created using blackheap. This requires that the benchmark is done on the iofs FUSE file system, which can be controlled via the `--file` parameter. Therefore, the minimal call would be - -``` -blackheap --file /path/to/somewhere/within/the/mountpoint -``` - -Afterwards, a model will be created at `$PWD/default_model`. This can be controlled via `--to`. See `blackheap --help` for more. - -### Step 2: Remount iofs with the real classifications - -Unmount iofs and remount with the newly created `default_model/iofs.csv`. Otherwise, the parameters are the same as in Step 0. - -Afterwards, it should record and classify the I/O requests according to the performance model created. - -## Setting up Grafana and InfluxDB for Remote Analysis - -We provide a full docker-compose setup for InfluxDB+Grafana [in the iofs repository](https://gwdg.github.io/iofs/book/setup/LocalGrafana.html). - -After the setup data can be streamed by mounting iofs with - -``` -iofs /new/fuse/mountpoint /where/real/data/is --classificationfile=/path/to/dummy.csv --in-server=http://influx_server:8086 --in-db=mydb -``` - -See [the iofs documentation](https://gwdg.github.io/iofs/book) for more information. diff --git a/docs/src/Workflow/Analysis.md b/docs/src/Workflow/Analysis.md deleted file mode 100644 index 44c9c2f..0000000 --- a/docs/src/Workflow/Analysis.md +++ /dev/null @@ -1,63 +0,0 @@ -# Analysis - -After each benchmark, we get a lot of points `(access_size, time)` for each characteristics. Now, for each access size, we have to find a good prediction on how much time we can expect the access to take. This way, we can correlate a given operation with the different characteristics we measured. - -Importantly, we can't assume that we have a normal distribution. This makes intuitive sense: On the one hand, calculating access times is a highly multivariate problem. On the other hand, things like shared queues will lead to a Gamma distribution, which is also why we can't just just a Gaussian Mixture Model. - -Without any further assumptions, the trivial choice would be a histogram. Sadly, this leaves us with the problem of automatic bin number and width. Often times, those automatic rules can often hugely misrepresent the underlying PDF. - -Instead we use a so-called [Kernel Density Estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation), which creates a "smoother" histogram by putting a kernel over each point, then summing all kernels and renormalizing it to \\(\int f(x) = 1\\). - -A more detailed introduction to KDEs and their advantages [in the great KDEpy documentation](https://kdepy.readthedocs.io/en/latest/introduction.html). - -## Kernel Density Estimations (KDEs) - -A KDE of points \\(x_1,\dots,x_n\\) can be simplified to - -\\[ -\hat{f}(x) = \frac{1}{N} \sum_{i=1}^N K(x-x_i) -\\] - -where \\(K\\) is a so-called _kernel function_. This function can be understood in the following way: - -- For each point \\(x_i, i \in \{1,\dots, n\}\\) -- Move the kernel function \\(x_i\\) to the right, to center it on this point -- Then take the already moved kernel function \\(K\\) with regard to \\(x\\) -- Take the sum of all those evaluated kernels -- And renormalize it so that the integral equals \\(1\\) i.e. the whole domain has a probability of 100%. - -In our case, the kernel function is a [Gaussian](https://en.wikipedia.org/wiki/Gaussian_function). - -## The bandwidth problem - -In real computations, our actual formula is defined as - -\\[ -\hat{f}(x) = \frac{1}{Nh} \sum_{i=1}^N K\left(\frac{x-x_i}{h}\right) -\\] - -where \\(h > 0\\) is the so-called _bandwidth_. - -The bandwidth describes how the kernel needs to be scaled. We use the commonly used [Silverman's rule of thumb](https://doi.org/10.1201/9781315140919), provided by the [`criterion_stats`](https://docs.rs/crate/criterion-stats/0.2.1) package. - -## Cluster detection - -Now that we have a proper kernel density estimation for each characteristic and access time, we can further analyze our measurements. - -At the time of this writing, we associate the time upper bound with the most likely access time, i.e. the global maximum of the corresponding KDE. - -In the future, we want to use more sophisticated cluster detection for creating multiple regression functions. We currently already create clusters, although they are not yet used in the actual classification. They can be seen via the web interface. - -## Our cluster algorithm - -A cluster is defined by a local maximum and it's surrounding local minima. Note that the fastest and slowest access times are automatically the outer local minima. - -At first, we just naively compute all cluster by numerically approximating their extrema. - -Next, we try to find the "significant" clusters. A cluster is significant if and only if - -\\[ -\max_i - \min_{i+1} \geq 0.1 \cdot \text{global_max} -\\] - -If a cluster is not significant, it gets merged into the last significant cluster. diff --git a/docs/src/Workflow/Benchmark.md b/docs/src/Workflow/Benchmark.md deleted file mode 100644 index 1cad4c3..0000000 --- a/docs/src/Workflow/Benchmark.md +++ /dev/null @@ -1,27 +0,0 @@ -# Creating Benchmarks - -In order to create accurate benchmarks of specific characteristics, we created the [`blackheap-benchmark`](https://github.com/lquenti/blackheap/tree/master/blackheap-benchmark) benchmarker, which is based on [`io-modelling`](https://github.com/JulianKunkel/io-modelling). - -It is standalone, configurable via CLI parameters and prints any JSON output to stdout. - -When using the [`blackheap-modeller`](https://github.com/lquenti/blackheap/tree/master/blackheap-modeller), maunal interaction with the benchmarker is not requried. - -## Parameters - -It supports the following parameters: - -- `-r`/`-w` for either read or write operations -- `--file-pattern`/`--mem-pattern` for the access pattern of the file system or memory buffer. - The following patterns are implemented - - `off0`: Always use the same to the same offset - - `seq`: Read/Write sequentially - - `rnd`: Change the offset randomly after every I/O operation. -- `--access-size`: The size of each I/O operation. This is primarily used to create different measurements of the same characteristics. -- `--file`: On which file the benchmark should run. Note that the file at the given path will be zeroed out. Use this setting to implicitly set which file system is getting benchmarked. -- `--file-buf`/`--mem-buf`: The size of the corresponding buffers in bytes. Note that the file buffer actually gets allocated via successive write operations; no fallocate is used. -- `--repeats` The number of measurements with a given configuration. -- `--delete-afterwards`: Whether the file should be deleted after the benchmark is done. This can be used to remove any page caching between benchmarks. Obviously, not deleting the file can significantly reduce the execution time of further benchmarks. -- `--drop-cache`: Drops the page cache [via `/proc/sys/vm/drop_caches`](https://www.kernel.org/doc/Documentation/sysctl/vm.txt) -- `--free-ram` Aritificially allocates RAM until the number of bytes are met. This restriction is done in order to force cache eviction. -- `--o-direct`: Uses Linux Direct I/O (see `O_DIRECT`) -- `--reread`: Read each block twice, just benchmark the second time. This is used to get cache speeds. diff --git a/docs/src/Workflow/ModelCreation.md b/docs/src/Workflow/ModelCreation.md deleted file mode 100644 index 3baf1d8..0000000 --- a/docs/src/Workflow/ModelCreation.md +++ /dev/null @@ -1,25 +0,0 @@ -# Model Creation - -After creating and analyzing the KDEs, we now have for each type of benchmark many points `(access_size, time_of_global_maximum)`. - -Now we have to create a predictive model from those points. We currently have 2 different approaches: - -## Linear Model - -In order to create a linear model we do a [least square linear regression](https://en.wikipedia.org/wiki/Linear_least_squares) on each points of a given type of benchmark. - -The regression functionality is provided by the great [`linregress`](https://github.com/n1m3/linregress) library. - -## ConstLinear Model - -This model works with the following assumption: We should expect linear speed below 4096 bytes, as this is the default page cache size. - -Thus we use a piecewise function. The piecewise function is defined as follows: - -``` -def f(x): - if x <= 4096: - return global_maximum(1, 4096) - else: - return linear_model_beginning_at(4096) -``` diff --git a/docs/src/Workflow/README.md b/docs/src/Workflow/README.md deleted file mode 100644 index ef3d3f9..0000000 --- a/docs/src/Workflow/README.md +++ /dev/null @@ -1,11 +0,0 @@ -# Workflow - -## Overview - -The workflow can be split into 3 parts: - -- [Generating performance measurements via different benchmarks](./Benchmark.md) -- [Analyzing the benchmarks](./Analysis.md) -- [Creating a predictive performance model based on the single analyses](./ModelCreation.md) - -Note that Blackheap does all of those 3 steps automatically, no manual work is required! diff --git a/icon.png b/icon.png deleted file mode 100755 index b5bca34..0000000 Binary files a/icon.png and /dev/null differ diff --git a/preloadee/.gitignore b/preloadee/.gitignore deleted file mode 100644 index b0d5264..0000000 --- a/preloadee/.gitignore +++ /dev/null @@ -1,5 +0,0 @@ -*.csv -build/ -*.txt -main -a.out diff --git a/preloadee/Makefile b/preloadee/Makefile deleted file mode 100644 index cc07a91..0000000 --- a/preloadee/Makefile +++ /dev/null @@ -1,12 +0,0 @@ -all: clean make-build-folder build - -clean: - rm -rf build - -make-build-folder: clean - mkdir build - -build: make-build-folder - gcc -Wall -Wextra -std=gnu11 -O2 -fPIC -shared -o ./build/preloadee.so preloadee.c -ldl - -.PHONY: all clean make-build-folder build diff --git a/preloadee/main.c b/preloadee/main.c deleted file mode 100644 index 653d2d7..0000000 --- a/preloadee/main.c +++ /dev/null @@ -1,22 +0,0 @@ -#include -#include -#include -#include -#include -#include - -int main() { - int fd = open("./test.txt", O_CREAT | O_WRONLY, 0644); - char str[] = "lorem ipsum"; - printf("to write:%s\n", str); - write(fd, str, strlen(str)); - close(fd); - - fd = open("./test.txt", O_RDONLY); - char buf[51]; - ssize_t res = read(fd, buf, 51); - buf[res] = '\0'; - printf("res: %lld\n", (long long int)res); - printf("main: %s\n", buf); - close(fd); -} diff --git a/preloadee/preloadee.c b/preloadee/preloadee.c deleted file mode 100644 index 668b7a0..0000000 --- a/preloadee/preloadee.c +++ /dev/null @@ -1,136 +0,0 @@ -#define _GNU_SOURCE -#define unlikely(expr) __builtin_expect(!!(expr), 0) - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - - -#define CSV_HEADER "io_type,bytes,sec\n" - -typedef ssize_t (*io_operation_t)(int fd, void *buf, size_t count); - -typedef struct state_t { - int fp; - ssize_t (*orig_read)(int fd, void *buf, size_t count); - ssize_t (*orig_write)(int fd, const void *buf, size_t count); - int (*orig_open)(const char *path, int oflag, ...); - int (*orig_close)(int fd); -} state_t; - -static state_t *current_state = NULL; - -static void cleanup_state() { - // current_state is never a nullptr since this just gets - // called if init_state() got called first - free(current_state); -} - - -static void init_state() { - atexit(cleanup_state); - current_state = malloc(sizeof(state_t)); - - int timestamp = (int)time(NULL); - char filename[256]; - sprintf(filename, "./io_recordings_%d.csv", timestamp); - current_state->orig_read = dlsym(RTLD_NEXT, "read"); - current_state->orig_write = dlsym(RTLD_NEXT, "write"); - current_state->orig_open = dlsym(RTLD_NEXT, "open"); - current_state->orig_close = dlsym(RTLD_NEXT, "close"); - - current_state->fp = current_state->orig_open(filename, O_CREAT | O_WRONLY | O_TRUNC, 0644); - - - // write CSV header - current_state->orig_write(current_state->fp, CSV_HEADER, strlen(CSV_HEADER)); -} - - -static inline double timespec_to_double(const struct timespec *time) { - return time->tv_sec + 0.001 * 0.001 * 0.001 * time->tv_nsec; -} - -static double get_duration(const struct timespec *start, const struct timespec *end) { - return timespec_to_double(end) - timespec_to_double(start); -} - -static ssize_t do_io(bool is_read, int fd, void *buf, size_t count) { - // init state if first time - if (unlikely(current_state == NULL)) { - init_state(); - } - - // move branching out of benchmark - io_operation_t io_op; - if (is_read) { - io_op = current_state->orig_read; - } else { - io_op = (io_operation_t) current_state->orig_write; - } - - // do benchmark - ssize_t res; - struct timespec start, end; - double duration; - clock_gettime(CLOCK_MONOTONIC, &start); - res = io_op(fd, buf, count); - clock_gettime(CLOCK_MONOTONIC, &end); - duration = get_duration(&start, &end); - - // record results - // (Don't record our recording) - if (fd != current_state->fp) { - char result_buf[256]; - sprintf(result_buf, - "\%c,%zu,%.17g\n", - is_read ? 'r' : 'w', - res, - duration - ); - current_state->orig_write(current_state->fp, result_buf, strlen(result_buf)); - } - - // return actual result - return res; -} - -ssize_t read(int fd, void *buf, size_t count) { - return do_io(true, fd, buf, count); -} - -ssize_t write(int fd, const void *buf, size_t count) { - return do_io(false, fd, (void *)buf, count); -} - -// See: https://elixir.bootlin.com/glibc/latest/source/io/bits/fcntl2.h#L41 -// But we know that we either have 2 or 3 arguments. -// Thus we don't have to do the Vararg magic described in -// https://gcc.gnu.org/onlinedocs/gcc-4.7.2/gcc/Constructing-Calls.html -int open(const char *path, int oflag, ...) { - if (unlikely(current_state == NULL)) { - init_state(); - } - va_list args; - int mflag; - - va_start(args, oflag); - mflag = va_arg(args, int); - int ret = current_state->orig_open(path, oflag, mflag); - return ret; -} - -int close(int fd) { - if (unlikely(current_state == NULL)) { - init_state(); - } - return current_state->orig_close(fd); -}