Skip to content

subnero1/ARM_Toolchain_2016q3_Source

 
 

Repository files navigation

ARM Embedded Toolchain 2016q3 for Arduino on Raspberry Pi

This copy of the 2016q3 "arm-none-eabi-gcc" toolchain used by Arduino is slightly modified to be able to compile on Raspberry Pi.

Before building, edit /etc/dphys-swapfile to increase your Raspberry Pi swap space. (TODO: how muchis really needed?) Reboot for this change to take effect. If you run out of virtual memory, the build will fail with "Makefile:2138: recipe for target 's-automata' failed".

To build, use these commands:

cd src
find -name '*.tar.*' | xargs -I% tar -xf %
patch -p1 < ../gmp-4.3.2.patch
cd ../
./build-prerequisites.sh
./build-toolchain.sh

Building on nVidia Jetson TX2 (ARM 64 bit, aka AARCH64)

To build on Jetson TX2 running Ubuntu 16.04, use the same commands as above but replace the last 2 lines with these commands:

./build-prerequisites-aarch64.sh
./build-toolchain-aarch64.sh

Original README

GNU Tools for ARM Embedded Processors Version: 5

Table of Contents

  • Installing executables on Linux

  • Installing executables on Mac OS X

  • Installing executables on Windows

  • Invoking GCC

  • Architecture options usage

  • C Libraries usage

  • Linker scripts & startup code

  • Samples

  • GDB Server for CMSIS-DAP based hardware debugger

  • Installing executables on Linux * Unpack the tarball to the install directory, like this: $ cd $install_dir && tar xjf gcc-arm-none-eabi-*-yyyymmdd-linux.tar.bz2

For 64 bit system, 32 bit libc and libncurses are required to run the tools. In addition, if you want to use gdb python build (arm-none-eabi-gdb-py), you'd install 32 bit python2.7. Please refer https://answers.launchpad.net/gcc-arm-embedded/+faq/2601

For some Ubuntu releases, the toolchain can also be installed via Launchpad PPA at https://launchpad.net/~team-gcc-arm-embedded/+archive/ubuntu/ppa.

  • Installing executables on Mac OS X * Unpack the tarball to the install directory, like this: $ cd $install_dir && tar xjf gcc-arm-none-eabi-*-yyyymmdd-mac.tar.bz2

  • Installing executables on Windows * Run the installer (gcc-arm-none-eabi-*-yyyymmdd-win32.exe) and follow the instructions.

The toolchain in windows zip package is a backup to windows installer for those who cannot run installer. We need decompress the zip package in a proper place and then invoke it following instructions in next section.

To use gdb python build (arm-none-eabi-gdb-py), you need install 32 bit python2.7 no matter 32 or 64 bit Windows. Please get the package from https://www.python.org/download/.

  • Invoking GCC * On Linux and Mac OS X, either invoke with the complete path like this: $ $install_dir/gcc-arm-none-eabi-*/bin/arm-none-eabi-gcc

Or set path like this: $ export PATH=$PATH:$install_dir/gcc-arm-none-eabi-*/bin $ arm-none-eabi-gcc

On Windows (although the above approaches also work), it can be more convenient to either have the installer register environment variables, or run INSTALL_DIR\bin\gccvar.bat to set environment variables for the current cmd.

For windows zip package, after decompression we can invoke toolchain either with complete path like this: TOOLCHAIN_UNZIP_DIR\bin\arm-none-eabi-gcc or run TOOLCHAIN_UNZIP_DIR\bin\gccvar.bat to set environment variables for the current cmd.

  • Architecture options usage *

This toolchain is built and optimized for Cortex-A/R/M bare metal development. the following table shows how to invoke GCC/G++ with correct command line options for variants of Cortex-A/R and Cortex-M architectures.


| ARM core | Command Line Options | multilib |

/ ARM arch
Cortex-M0+ -mthumb -mcpu=cortex-m0plus armv6-m
Cortex-M0 -mthumb -mcpu=cortex-m0
Cortex-M1 -mthumb -mcpu=cortex-m1
--------------------------------------------
-mthumb -march=armv6-m
------------ -------------------------------------------- --------------
Cortex-M3 -mthumb -mcpu=cortex-m3 armv7-m
--------------------------------------------
-mthumb -march=armv7-m
------------ -------------------------------------------- --------------
Cortex-M4 -mthumb -mcpu=cortex-m4 armv7e-m
(No FP) --------------------------------------------
-mthumb -march=armv7e-m
------------ -------------------------------------------- --------------
Cortex-M4 -mthumb -mcpu=cortex-m4 -mfloat-abi=softfp armv7e-m
(Soft FP) -mfpu=fpv4-sp-d16 /softfp
--------------------------------------------
-mthumb -march=armv7e-m -mfloat-abi=softfp
-mfpu=fpv4-sp-d16
------------ -------------------------------------------- --------------
Cortex-M4 -mthumb -mcpu=cortex-m4 -mfloat-abi=hard armv7e-m
(Hard FP) -mfpu=fpv4-sp-d16 /fpu
--------------------------------------------
-mthumb -march=armv7e-m -mfloat-abi=hard
-mfpu=fpv4-sp-d16
------------ -------------------------------------------- --------------
Cortex-M7 -mthumb -mcpu=cortex-m7 armv7e-m
(No FP) --------------------------------------------
-mthumb -march=armv7e-m
------------ -------------------------------------------- --------------
Cortex-M7 -mthumb -mcpu=cortex-m7 -mfloat-abi=softfp armv7e-m
(Soft FP) -mfpu=fpv5-sp-d16 /softfp
-------------------------------------------- /fpv5-sp-d16
-mthumb -march=armv7e-m -mfloat-abi=softfp
-mfpu=fpv5-sp-d16
-------------------------------------------- --------------
-mthumb -mcpu=cortex-m7 -mfloat-abi=softfp armv7e-m
-mfpu=fpv5-d16 /softfp
-------------------------------------------- /fpv5-d16
-mthumb -march=armv7e-m -mfloat-abi=softfp
-mfpu=fpv5-d16
------------ -------------------------------------------- --------------
Cortex-M7 -mthumb -mcpu=cortex-m7 -mfloat-abi=hard armv7e-m
(Hard FP) -mfpu=fpv5-sp-d16 /fpu
-------------------------------------------- /fpv5-sp-d16
-mthumb -march=armv7e-m -mfloat-abi=hard
-mfpu=fpv5-sp-d16
-------------------------------------------- --------------
-mthumb -mcpu=cortex-m7 -mfloat-abi=hard armv7e-m
-mfpu=fpv5-d16 /fpu
-------------------------------------------- /fpv5-d16
-mthumb -march=armv7e-m -mfloat-abi=hard
-mfpu=fpv5-d16
------------ -------------------------------------------- --------------
ARMv8-M -mthumb -march=armv8-m.base armv8-m.base
Baseline
------------ -------------------------------------------- --------------
ARMv8-M -mthumb -march=armv8-m.main armv8-m.main
Mainline
(No FP)
------------ -------------------------------------------- --------------
ARMv8-M -mthumb -march=armv8-m.main armv8-m.main
Mainline -mfloat-abi=softfp -mfpu=fpv5-sp-d16 /softfp
(Soft FP) /fpv5-sp-d16
-------------------------------------------- --------------
-mthumb -march=armv8-m.main armv8-m.main
-mfloat-abi=softfp -mfpu=fpv5-d16 /softfp
/fpv5-d16
------------ -------------------------------------------- --------------
ARMv8-M -mthumb -march=armv8-m.main armv8-m.main
Mainline -mfloat-abi=hard -mfpu=fpv5-sp-d16 /fpu
(Hard FP) /fpv5-sp-d16
-------------------------------------------- --------------
-mthumb -march=armv8-m.main armv8-m.main
-mfloat-abi=hard -mfpu=fpv5-d16 /fpu
/fpv5-d16
------------ -------------------------------------------- --------------
Cortex-R4 [-mthumb] -march=armv7-r armv7-ar
Cortex-R5 /thumb
Cortex-R7
Cortex-R8
(No FP)
------------ -------------------------------------------- --------------
Cortex-R4 [-mthumb] -march=armv7-r -mfloat-abi=softfp armv7-ar
Cortex-R5 -mfpu=vfpv3-d16 /thumb
Cortex-R7 /softfp
Cortex-R8
(Soft FP)
------------ -------------------------------------------- --------------
Cortex-R4 [-mthumb] -march=armv7-r -mfloat-abi=hard armv7-ar
Cortex-R5 -mfpu=vfpv3-d16 /thumb
Cortex-R7 /fpu
Cortex-R8
(Hard FP)
------------ -------------------------------------------- --------------
Cortex-A* [-mthumb] -march=armv7-a armv7-ar
(No FP) /thumb
------------ -------------------------------------------- --------------
Cortex-A* [-mthumb] -march=armv7-a -mfloat-abi=softfp armv7-ar
(Soft FP) -mfpu=vfpv3-d16 /thumb
/softfp
------------ -------------------------------------------- --------------
Cortex-A* [-mthumb] -march=armv7-a -mfloat-abi=hard armv7-ar
(Hard FP) -mfpu=vfpv3-d16 /thumb
/fpu

  • C Libraries usage *

This toolchain is released with two prebuilt C libraries based on newlib: one is the standard newlib and the other is newlib-nano for code size. To distinguish them, we rename the size optimized libraries as:

libc.a --> libc_nano.a libg.a --> libg_nano.a

To use newlib-nano, users should provide additional gcc compile and link time option: --specs=nano.specs

At compile time, a 'newlib.h' header file especially configured for newlib-nano will be used if --specs=nano.specs is passed to the compiler.

Nano.specs also handles two additional gcc libraries: libstdc++_nano.a and libsupc++_nano.a, which are optimized for code size.

For example: $ arm-none-eabi-gcc src.c --specs=nano.specs $(OTHER_OPTIONS)

This option can also work together with other specs options like --specs=rdimon.specs

Please note that, unlike previous versions of this toolchain, --specs=nano.specs is now both a compiler and linker option. Be sure to include in both compiler and linker options if compiling and linking are separated.

** additional newlib-nano libraries usage

Newlib-nano is different from newlib in addition to the libraries' name. Formatted input/output of floating-point number are implemented as weak symbol. If you want to use %f, you have to pull in the symbol by explicitly specifying "-u" command option.

-u _scanf_float -u _printf_float

e.g. to output a float, the command line is like: $ arm-none-eabi-gcc --specs=nano.specs -u _printf_float $(OTHER_LINK_OPTIONS)

For more about the difference and usage, please refer the README.nano in the source package.

Users can choose to use or not use semihosting by following instructions. ** semihosting If you need semihosting, linking like: $ arm-none-eabi-gcc --specs=rdimon.specs $(OTHER_LINK_OPTIONS)

** non-semihosting/retarget If you are using retarget, linking like: $ arm-none-eabi-gcc --specs=nosys.specs $(OTHER_LINK_OPTIONS)

  • Linker scripts & startup code *

Latest update of linker scripts template and startup code is available on http://www.arm.com/cmsis

  • Samples * Examples of all above usages are available at: $install_dir/gcc-arm-none-eabi-*/share/gcc-arm-none-eabi/samples

Read readme.txt under it for further information.

  • GDB Server for CMSIS-DAP based hardware debugger * CMSIS-DAP is the interface firmware for a Debug Unit that connects the Debug Port to USB. More detailed information can be found at http://www.keil.com/support/man/docs/dapdebug/.

A software GDB server is required for GDB to communicate with CMSIS-DAP based hardware debugger. The pyOCD is an implementation of such GDB server that is written in Python and under Apache License.

For those who are using this toolchain and have board with CMSIS-DAP based debugger, the pyOCD is our recommended gdb server. More information can be found at https://github.com/mbedmicro/pyOCD.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 100.0%