Awesome-GPU

• Awesome-GPU
  • Resources Management
    • Papers
  • Parallelism
    • Papers
    • Slides
  • Cache
    • Papers
  • Algorithm
    • Papers
    • Slides
    • Software
  • Performance Analysis
    • Papers
    • Books
    • Slides
    • Software
  • Compiler
  • GPU Binaries
    • Papers
    • Slides
  • Documentations
    • White Papers
    • APIs
  • GTC

Resources Management

Papers

1. ASPLOS'17-Locality-Aware CTA Clustering for Modern GPUs
2. ASPLOS'17-Dynamic Resource Management for Efficient Utilization of Multitasking GPUs
3. HPCA'17-Dynamic GPGPU Power Management Using Adaptive Model Predictive Control
4. ISCA'16-Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems

Parallelism

Papers

1. HPCA'17-Controlled Kernel Launch for Dynamic Parallelism in GPUs
2. ISCA'16-LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs
3. ISCA'16-Virtual Thread Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit
4. Berkeley TechRpts'16-Understanding Latency Hiding on GPUs

Slides

1. GTC'17-COOPERATIVE GROUPS

Cache

Papers

1. ISCA'16-APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs
2. SC'15-Adaptive and Transparent Cache Bypassing for GPUs

Algorithm

Papers

1. HPCA'17-Towards Pervasive and User Satisfactory CNN across GPU Microarchitectures
2. ASPLOS'14-Paraprox: Pattern-Based Approximation for Data Parallel Applications

Slides

1. GTC'18-CUTLASS: CUDA TEMPLATE LIBRARY FOR DENSE LINEAR ALGEBRA AT ALL LEVELS AND SCALES

Software

1. CUTLASS

Performance Analysis

Papers

1. GTC'18-Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
2. PLDI'18-GPU Code Optimization using Abstract Kernel Emulation and Sensitivity Analysis
3. CGO'18-CUDAAdvisor: LLVM-based runtime profiling for modern GPUs
4. CCGRID'18-Exposing Hidden Performance Opportunities in High Performance GPU Applications
5. Euro-Par'15-Identifying Optimization Opportunities Within Kernel Execution in GPU Codes
6. SC'13-Effective sampling-driven performance tools for GPU-accelerated supercomputers
7. ISPASS'12-Lynx: A dynamic instrumentation system for data-parallel applications on GPGPU architectures
8. ICPP'11-Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs
9. ISPASS'10-Demystifying GPU Microarchitecture through Microbenchmarking
10. ISPASS'10-Visualizing Complex Dynamics in Many-Core Accelerator Architectures
11. ISPASS'09-Analyzing CUDA Workloads Using a Detailed GPU Simulator

Books

1. Performance Analysis and Tuning for General Purpose Graphics Processing Units (GPGPU)
2. Monitoring Heterogeneous Applications with the OpenMP Tools Interface

Slides

1. ECP'19-Performance Tuning of Scientific Codes with the Roofline Model
2. GTC'18-VOLTA Architecture and performance optimization
3. SC'10-Fundamental_Optimizations

Software

1. Vampir|Score-P
2. TAU
3. PAPI
4. Allinea MAP
5. Open|SpeedShop
6. HPCToolkit
7. NVIDIA Nsight Systems
8. NVIDIA Nsight Compute

Compiler

1. LLVM'17-Implementing implicit OpenMP data sharing on GPUs
2. CGO'16-gpucc: An Open-Source GPGPU Compiler
3. LLVM'16-Offloading Support for OpenMP in Clang and LLVM
4. PMBS'15-Performance Analysis of OpenMP on a GPU using a CORAL Proxy Application
5. LLVM'15-Integrating GPU Support for OpenMP Offloading Directives into Clang
6. LLVM'14-Coordinating GPU Threads for OpenMP 4.0 in LLVM

GPU Binaries

Papers

1. CGO'19-Decoding CUDA binary
2. ISCA'15-Flexible software profiling of GPU architectures

Slides

1. SASSI

Documentations

White Papers

1. Ampere-NVIDIA A100 Tensor Core GPU Architecture
2. Turing-NVIDIA TURING GPU ARCHITECTURE
3. Volta-NVIDIA TESLA V100
4. Pascal-NVIDIA TESLA P100
5. Kepler-NVIDIA’s Next Generation CUDA Compute Architecture: Kepler
6. Fermi-NVIDIA’s Next Generation CUDA Compute Architecture: Fermi

APIs

1. CUDA Toolkit Documentation-CUDA Toolkit Documentation

GTC

1. GTC-GPU Technology Conference