high performance computing on graphics processing units: hgpu.org

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Interactive Volume Rendering Aurora on the GPU

Orion Sky Lawlor, Jon Genetti

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Tags: Algorithms, ATI, ATI Radeon HD 4830, Computer science, GLSL, nVidia, nVidia GeForce 8800 M GTS, nVidia GeForce GTX 280, OpenGL, Raytracing, Rendering

March 13, 2011 by hgpu

GPU Objects

Sunil Mohan Ranta, Jag Mohan Singh, P. J. Narayanan

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6600 GT, OpenGL

March 13, 2011 by hgpu

GPU for CAD

Thomas R. Kurfess, Thomas M. Tucker, Koushik Aravalli, P. M. Meghashyam

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Tags: CAD, Computer science, nVidia, nVidia Quadro FX 3000, Review, Shaders

March 13, 2011 by hgpu

GPU Octrees and Optimized Search

Daniel Madeira, Anselmo Montenegro, Esteban Clua, Thomas Lewiner

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 9600 M GT, Search

March 12, 2011 by hgpu

Acceleration of a CFD Code with a GPU

Dennis C. Jespersen

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX

March 12, 2011 by hgpu

Empowering Visual Categorization With the GPU

Koen E. A. Van De Sande, Theo Gevers, Cees G. M. Snoek

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Tags: CUDA, Image processing, Information Retrieval, nVidia, nVidia GeForce GTX 260

March 12, 2011 by hgpu

GPU Computing with Orientation Maps for Extracting Local Invariant Features

Naoyuki Ichimura

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 4600

March 12, 2011 by hgpu

GEMM on a GPU

Jonathan Monette

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia Quadro FX 5800, Poster

March 12, 2011 by hgpu

To GPU Synchronize or Not GPU Synchronize?

Wu-Chun Feng, Shucai Xiao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques, Synchronization

March 12, 2011 by hgpu

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Ling Sing S. Yung, Can Yang, Xiang Wan, Weichuan Yu

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Tags: Bioinformatics, Biology, Genetics, nVidia, nVidia GeForce GTX 285, Package

March 12, 2011 by hgpu

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Gallagher Pryor, Tauseef U. Rehman, Shawn Lankton, Patricio A. Vela, Allen Tannenbaum

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Optical flow, Video tracking

March 12, 2011 by hgpu

Stereo depth with a Unified Architecture GPU

Joel Gibson, Oge Marques

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 11, 2011 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

Interactive Volume Rendering Aurora on the GPU

GPU Objects

GPU for CAD

GPU Octrees and Optimized Search

Acceleration of a CFD Code with a GPU

Empowering Visual Categorization With the GPU

GPU Computing with Orientation Maps for Extracting Local Invariant Features

GEMM on a GPU

To GPU Synchronize or Not GPU Synchronize?

GBOOST : A GPU-based tool for detecting gene-gene interactions in genome-wide case control studies

Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU

Stereo depth with a Unified Architecture GPU

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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