high performance computing on graphics processing units: hgpu.org

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SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee

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Tags: Code generation, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package, Programming Languages, Programming techniques

July 26, 2012 by hgpu

Source-to-source transformations for irregular and multithreaded code optimization

Julien Jaeger

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, Thesis

July 24, 2012 by hgpu

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

J.C. Juega, J.I. Gomez, C. Tenllado, S. Verdoolaege, A. Cohen, F. Catthoor

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Tags: Code generation, Computer science, CUDA, nVidia, Tesla M2070

July 24, 2012 by hgpu

A Comparative Study of OpenACC Implementations

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Tesla C2050

July 23, 2012 by hgpu

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Kazuya Matsumoto, Naohito Nakasato, Stanislav G. Sedukhin

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Tags: ATI, ATI Radeon HD 7970, Code generation, Computer science, Matrix multiplication, OpenCL

July 15, 2012 by hgpu

Geometric Algebra enhanced Precompiler for C++ and OpenCL

Patrick Charrier, Dietmar Hildenbrand

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Tags: Code generation, Computer science, CUDA, nVidia, OpenCL, Package, Programming techniques

July 11, 2012 by hgpu

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: Code generation, CUDA, Image processing, nVidia, OpenCL, Optimization, Package, Tesla C2050

July 3, 2012 by hgpu

API-Compiling for Image Hardware Accelerators

Fabien Coelho, Francois Irigoin

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Tags: Code generation, Image processing, nVidia, nVidia GeForce 9300 GE, OpenCL

July 2, 2012 by hgpu

A new parallelisation technique for heterogeneous CPUs

Youssef Omran Gdura

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Tags: Benchmarking, Code generation, Computer science, Heterogeneous systems, Programming techniques, Thesis

June 5, 2012 by hgpu

Generating Device-specific GPU code for Local Operators in Medical Imaging

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Code generation, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5800, OpenCL, RapidMind, Tesla C2050

June 1, 2012 by hgpu

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

Ziyu Guo, Bo Wu, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Pattern recognition

May 6, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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high performance computing on graphics processing units: hgpu.org

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Source-to-source transformations for irregular and multithreaded code optimization

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

A Comparative Study of OpenACC Implementations

Implementing a Code Generator for Fast Matrix Multiplication in OpenCL on the GPU

Geometric Algebra enhanced Precompiler for C++ and OpenCL

Automatic Optimization of In-Flight Memory Transactions for GPU Accelerators based on a Domain-Specific Language for Medical Imaging

API-Compiling for Image Hardware Accelerators

A new parallelisation technique for heterogeneous CPUs

Generating Device-specific GPU code for Local Operators in Medical Imaging

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

High-Performance Code Generation for Stencil Computations on GPU Architectures

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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