high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Ray Casting Deformable Models on the GPU

Suryakant Patidar, P. J. Narayanan

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

December 24, 2010 by hgpu

GPU algorithms for radiosity and subsurface scattering

Nathan A. Carr, Jesse D. Hall, John C. Hart

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL

December 24, 2010 by hgpu

A code motion technique for accelerating general-purpose computation on the GPU

Takatoshi Ikeda, Fumihiko Ino, and Kenichi Hagihar

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Tags: Computer science, nVidia, nVidia GeForce 6800, OpenGL, Programming techniques

December 24, 2010 by hgpu

Information Visualization of Multi-dimensional Cellular Automata using GPU Programming

Stephane Gobron, Daniel Mestre

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Tags: Cellular automata, Computer science, GLSL, nVidia, nVidia Quadro FX 3500, OpenGL, Real-time graphics, Visualization

December 24, 2010 by hgpu

Singular value decomposition on GPU using CUDA

Sheetal Lahabar, P. J. Narayanan

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 280, Tesla S1070

December 24, 2010 by hgpu

A high-speed multi-GPU implementation of bottom-up attention using CUDA

Tingting Xu, Thomas Pototschnig, Kolja Kuhnlenz, Martin Buss

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX

December 24, 2010 by hgpu

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Frederico Pratas, Pedro Trancoso, Alexandros Stama

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Tags: Cell processor, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Performance, Programming techniques

December 24, 2010 by hgpu

Real Time Stereo Vision Using Exponential Step Cost Aggregation On GPU

Wei Yu, Tsuhan Chen, James C. Hoe

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Tags: Computer vision, Image processing, nVidia, nVidia GeForce 8800 GTX

December 23, 2010 by hgpu

GPU Rigid Skinning based on a Refined Skeletonization Method

Andreas Vasilakis, Ioannis Fudos

Tags: 3D Graphics and Realism, Computer science, Real-time graphics, Visualization

December 23, 2010 by hgpu

Parallel hybrid evolutionary algorithms on GPU

The Van Luong, Nouredine Melab, El-Ghazali Talbi

Tags: Computer science, CUDA, Data mining, Metaheuristics, nVidia, nVidia GeForce GTX 280

December 23, 2010 by hgpu

Offloading IDS Computation to the GPU

Nigel Jacob, Carla E. Brodley

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Tags: Cg, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Security

December 23, 2010 by hgpu

Voronoi Toolpaths for PCB Mechanical Etch: Simple and Intuitive Algorithms with the 3D GPU

Marsette Vona, Daniela Rus

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Tags: Algorithms, Computer science, Visualization, Voronoi diagram

December 23, 2010 by hgpu

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

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

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

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

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

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

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

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

Hunting CUDA Bugs at Scale with cuFuzz

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Ray Casting Deformable Models on the GPU

GPU algorithms for radiosity and subsurface scattering

A code motion technique for accelerating general-purpose computation on the GPU

Information Visualization of Multi-dimensional Cellular Automata using GPU Programming

Singular value decomposition on GPU using CUDA

A high-speed multi-GPU implementation of bottom-up attention using CUDA

Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function

Real Time Stereo Vision Using Exponential Step Cost Aggregation On GPU

GPU Rigid Skinning based on a Refined Skeletonization Method

Parallel hybrid evolutionary algorithms on GPU

Offloading IDS Computation to the GPU

Voronoi Toolpaths for PCB Mechanical Etch: Simple and Intuitive Algorithms with the 3D GPU

Recent source codes

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

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

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

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

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

True 4-Bit Quantized CNN Training on CPU

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

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