high performance computing on graphics processing units: hgpu.org

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Hierarchical overlapped tiling

Xing Zhou, Jean-Pierre Giacalone, Maria Jesus Garzaran, Robert H Kuhn, Yang Ni, David Padua

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Tags: Compilers, Computer science, OpenCL, Performance

June 23, 2012 by hgpu

Bacon: A GPU Programming System With Just in Time Specialization

Nat Tuck

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Tags: ATI, ATI Radeon HD 5830, Benchmarking, Computer science, Matrix multiplication, OpenCL

June 23, 2012 by hgpu

Parallel Neural Network Training with OpenCL

Nenad Krpan, Domagoj Jakobovic

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Tags: Algorithms, Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTS 250, OpenCL, Optimization

June 23, 2012 by hgpu

GPU Computing: Image Convolution

Jan Novak, Anton Kaplanyan, Gabor Liktor, Carsten Dachsbacher

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Tags: Education, Image processing, OpenCL, Package

June 20, 2012 by hgpu

Parallel Implementation of the Wu-Manber Algorithm Using the OpenCL Framework

Themistoklis K. Pyrgiotis, Charalampos S. Kouzinopoulos, Konstantinos G. Margaritis

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Tags: Algorithms, Biology, Computational biology, Databases, nVidia, nVidia GeForce GTX 280, OpenCL, Pattern Search, Sequence matching

June 20, 2012 by hgpu

An Investigation into Concurrent Expectation Propagation

David Hall, Alex Kantchelian

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Tags: Algorithms, ATI, ATI Radeon HD 6490 M, Computer science, Machine learning, OpenCL, Physics

June 20, 2012 by hgpu

OpenCL for programming shared memory multicore CPUs

Akhtar Ali, Usman Dastgeer, Christoph Kessler

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla M2050

June 18, 2012 by hgpu

OpenACC – First Experiences with Real-World Applications

Sandra Wienke, Paul Springer, Christian Terboven, Dieter an Mey

Tags: Computer science, Fortran, Heterogeneous systems, nVidia, OpenACC, OpenCL, Tesla C2050

June 18, 2012 by hgpu

Using Fermi architecture knowledge to speed up CUDA and OpenCL programs

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

June 13, 2012 by hgpu

A Consumer Application for GPGPUs: Desktop Search

Ateeq Sharfuddin, Xiaofan Feng

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Tags: ATI, ATI Radeon HD 6870, Computer science, OpenCL, Search

June 13, 2012 by hgpu

Experiences with High-Level Programming Directives for Porting Applications to GPUs

Oscar Hernandez, Wei Ding, Barbara Chapman, Ramanan Sankaran, and Richard Graham

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Tags: Computer science, CUDA, nVidia, OpenCL, Tesla C2070

June 13, 2012 by hgpu

S-buffer: Sparsity-aware Multi-fragment Rendering

Andreas A. Vasilakis, Ioannis Fudos

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Tags: Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, OpenGL, Package, Rendering

June 10, 2012 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Hierarchical overlapped tiling

Bacon: A GPU Programming System With Just in Time Specialization

Parallel Neural Network Training with OpenCL

GPU Computing: Image Convolution

Parallel Implementation of the Wu-Manber Algorithm Using the OpenCL Framework

An Investigation into Concurrent Expectation Propagation

OpenCL for programming shared memory multicore CPUs

OpenACC – First Experiences with Real-World Applications

Using Fermi architecture knowledge to speed up CUDA and OpenCL programs

A Consumer Application for GPGPUs: Desktop Search

Experiences with High-Level Programming Directives for Porting Applications to GPUs

S-buffer: Sparsity-aware Multi-fragment Rendering

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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