high performance computing on graphics processing units: hgpu.org

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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

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

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

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

Experiences with Cell-BE and GPU for Tomography

Sander van der Maar, Kees Joost Batenburg, Jan Sijbers

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Tags: Cell processor, Computed tomography, CT, CUDA, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2

December 22, 2010 by hgpu

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Zachary A. Garrett, Hideo Saito

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Real-time graphics, Video tracking

December 22, 2010 by hgpu

Pushing the Envelope: Extreme Network Coding on the GPU

Hassan Shojania, Baochun Li

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

December 22, 2010 by hgpu

Rapid Multipole Graph Drawing on the GPU

Apeksha Godiyal, Jared Hoberock, Michael Garland, John C. Hart

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 8800 GTX, Visualization

December 22, 2010 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

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

Parallel Branch Prediction on GPU Platform

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

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

Experiences with Cell-BE and GPU for Tomography

Real-Time Online Video Object Silhouette Extraction Using Graph Cuts on the GPU

Pushing the Envelope: Extreme Network Coding on the GPU

Rapid Multipole Graph Drawing on the GPU

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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