high performance computing on graphics processing units: hgpu.org

Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica

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Tags: ARM, Compilers, Computer science, CUDA, Deep learning, Neural networks, nVidia, Optimization, Search strategies, Tesla V100

June 21, 2020 by hgpu

Software Testing – Test Suite Compilation and Execution Optimizations

Panagiotis Stratis

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Tags: ATI, ATI Radeon HD 5450, Benchmarking, Computer science, Heterogeneous systems, Optimization, SYCL, Thesis

June 14, 2020 by hgpu

Parallel Programming Models for Heterogeneous Many-Cores: A Survey

Jianbin Fang, Chun Huang, Tao Tang, Zheng Wang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Optimization, Programming Languages, Review

May 17, 2020 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Exploring FPGA Optimizations to Compute Sparse Numerical Linear Algebra Kernels

Automatic GPU optimization through higher-order functions in functional languages

Transparent Compiler and Runtime Specializations for Accelerating Managed Languages on FPGAs

Design and Performance Evaluation of Optimizations for OpenCL FPGA Kernels

Memory Optimization for Deep Networks

OpenCL Performance on the Intel Heterogeneous Architecture Research Platform

When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization

Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads

8 Steps to 3.7 TFLOP/s on NVIDIA V100 GPU: Roofline Analysis and Other Tricks

Ansor: Generating High-Performance Tensor Programs for Deep Learning

Software Testing – Test Suite Compilation and Execution Optimizations

Parallel Programming Models for Heterogeneous Many-Cores: A Survey

Recent source codes

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DuoReduce: MLIR's benchmark

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LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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