high performance computing on graphics processing units: hgpu.org

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A fast high quality pseudo random number generator for nVidia CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla T10

December 25, 2010 by hgpu

Simulating Photon Mapping for Real-time Applications

Bent Dalgaard Larsen, Niels Jorgen Christen

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Tags: Computer science, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Real-time graphics, Rendering

December 25, 2010 by hgpu

Hardware-assisted Rendering of CSG Models

Fabiano Romeiro, Luiz Velho, Luiz Henrique de Figu

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, nVidia GeForce FX 5200, Raytracing, Rendering, Shaders

December 25, 2010 by hgpu

Multi-GPU volume rendering using MapReduce

Jeff A. Stuart, Cheng-Kai Chen, Kwan-Liu Ma, John D. Owens

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Tags: Computer science, CUDA, GPU cluster, MapReduce, nVidia, Rendering, Tesla C1090

December 25, 2010 by hgpu

Impostors, Pseudo-instancing and Image Maps for GPU Crowd Rendering

Erik Millan, Isaac Rudomin

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia Quadro FX 4400, OpenGL, Rendering

December 25, 2010 by hgpu

Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU

Ian Fischer, Craig Gotsman

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Tags: Computer science, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Voronoi diagram

December 25, 2010 by hgpu

Fourier Volume Rendering on the GPU Using a Split-Stream-FFT

Thomas Jansen, Bartosz von Rymon-Lipinski, Nils Hanssen, Erwin Keeve

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Tags: ATI, ATI Radeon 9800, Computer science, FFT, Rendering, Visualization

December 25, 2010 by hgpu

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

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

A fast high quality pseudo random number generator for nVidia CUDA

Simulating Photon Mapping for Real-time Applications

Hardware-assisted Rendering of CSG Models

Multi-GPU volume rendering using MapReduce

Impostors, Pseudo-instancing and Image Maps for GPU Crowd Rendering

Fast Approximation of High-Order Voronoi Diagrams and Distance Transforms on the GPU

Fourier Volume Rendering on the GPU Using a Split-Stream-FFT

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

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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