high performance computing on graphics processing units: hgpu.org

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Fast and Efficient Dense Variational Stereo on GPU

Julien Mairal, Renaud Keriven, Alexandre Chariot

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Tags: Cg, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Visualization

December 23, 2010 by hgpu

Iterative Methods for Visualization of Implicit Surfaces On GPU

Rodrigo de Toledo, Bruno Levy, Jean-Claude

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 7900, Rendering, Shaders, Visualization

December 23, 2010 by hgpu

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Aaron Hagan, Ye Zhao

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Tags: CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce 8800 GTX

December 23, 2010 by hgpu

Tabu Search on GPU

Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenstein

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Tags: Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 7300 GT, nVidia GeForce 8600 GT, Search

December 23, 2010 by hgpu

Real-Time Weighted Pose-Space Deformation on the GPU

Taehyun Rhee, John P. Lewis, Ulrich Neumann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, OpenGL, Rendering, Visualization

December 23, 2010 by hgpu

GPU Rendering of Secondary Effects

Kai Burger, Stefan Hertel, Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering

December 22, 2010 by hgpu

A GPU based interactive modeling approach to designing fine level features

Xin Huang, Sheng Li, Guoping Wang

Tags: 3D Graphics and Realism, Computer science, Rendering

December 22, 2010 by hgpu

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Luc Buatois, Guillaume Caumon, Bruno Levy

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, Linear Algebra, OpenGL, Sparse matrix

December 22, 2010 by hgpu

Parallel Branch Prediction on GPU Platform

Liqiang He, Guangyong Zhang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Programming techniques

December 22, 2010 by hgpu

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Julius Fabian Ohmer, Frederic Maire, Ross Brown

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Tags: Image processing, nVidia, nVidia GeForce 6800, OpenGL, Video tracking

December 22, 2010 by hgpu

Generating massive high-quality random numbers using GPU

Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, Pseudo-random number generators

December 22, 2010 by hgpu

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800 GTX, Smith-Waterman algorithm

December 22, 2010 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

Fast and Efficient Dense Variational Stereo on GPU

Iterative Methods for Visualization of Implicit Surfaces On GPU

Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster

Tabu Search on GPU

Real-Time Weighted Pose-Space Deformation on the GPU

GPU Rendering of Secondary Effects

A GPU based interactive modeling approach to designing fine level features

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Parallel Branch Prediction on GPU Platform

Real-Time Tracking with Non-Rigid Geometric Templates Using the GPU

Generating massive high-quality random numbers using GPU

Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU

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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