high performance computing on graphics processing units: hgpu.org

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hgpu.org » paper

Efficient Independent Component Analysis on a GPU

Rui Miguel Marme Ramalho, Pedro Tomas, Leonel Sousa

Tags: Algorithms, Signal processing

May 14, 2011 by hgpu

GPU-accelerated ray tracing for electromagnetic propagation analysis

B.R. Epstein, D.L. Rhodes

Tags: Algorithms, Electrodynamics, Electromagnetics simulation, Raytracing, Signal processing

May 14, 2011 by hgpu

Grid-based SAH BVH construction on a GPU

Kirill Garanzha, Simon Premoze, Alexander Bely, Vladimir Galaktionov

Tags: Algorithms, Computer science, CUDA, nVidia, Raytracing

May 13, 2011 by hgpu

Fast interpolated cameras by combining a GPU based plane sweep with a max-flow regularisation algorithm

Indra Geys, Thomas P. Koninckx, Luc Van Gool

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Tags: Algorithms, Computer science, Computer vision, Pattern recognition

May 13, 2011 by hgpu

Fast short exact repeats finding on GPU

Weidong Sun, Weiwei Wang, Zongmin Ma

Tags: Algorithms, Biology, CUDA, Genetics, nVidia, Pattern Search

May 13, 2011 by hgpu

GPU-accelerated synthetic aperture radar backprojection in CUDA

Ahmed Fasih, Timothy Hartley

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Tags: CUDA, Electrodynamics, Image processing, nVidia, nVidia Quadro FX 5600, Tesla C1060

May 13, 2011 by hgpu

Fast Katsevich Algorithm Based on GPU for Helical Cone-Beam Computed Tomography

Guorui Yan, Jie Tian, Shouping Zhu, Chenghu Qin, Yakang Dai, Fei Yang, Di Dong, Ping Wu

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Tags: Cg, Computed tomography, CT, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Tomography

May 13, 2011 by hgpu

Why does PHM matter? – Nvidia’s GPU problems reviewed

P.K. Rundle

Tags: Medicine, nVidia, Review

May 13, 2011 by hgpu

An Efficient Approach for Generating Pencil Filter and Its Implementation on GPU

Dang-en Xie, Yang Zhao, Dan Xu

Tags: Computer science, Real-time graphics, Rendering

May 13, 2011 by hgpu

CUgrep: A GPU-based high performance multi-string matching system

Jiangfeng Peng, Hu Chen

Tags: Algorithms, Computer science, CUDA, nVidia, String matching

May 13, 2011 by hgpu

Reducing shading on GPUs using quad-fragment merging

Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry Moreton, Pat Hanrahan

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Tags: Computer science, DirectX, Rasterization, Real-time graphics, Rendering

May 13, 2011 by hgpu

Fast network centrality analysis using GPUs

Zhiao Shi, Bing Zhang

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Source codes

Tags: All-Pairs Distance, Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C2050

May 13, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

Efficient Independent Component Analysis on a GPU

GPU-accelerated ray tracing for electromagnetic propagation analysis

Grid-based SAH BVH construction on a GPU

Fast interpolated cameras by combining a GPU based plane sweep with a max-flow regularisation algorithm

Fast short exact repeats finding on GPU

GPU-accelerated synthetic aperture radar backprojection in CUDA

Fast Katsevich Algorithm Based on GPU for Helical Cone-Beam Computed Tomography

Why does PHM matter? – Nvidia’s GPU problems reviewed

An Efficient Approach for Generating Pencil Filter and Its Implementation on GPU

CUgrep: A GPU-based high performance multi-string matching system

Reducing shading on GPUs using quad-fragment merging

Fast network centrality analysis using GPUs

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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