high performance computing on graphics processing units: hgpu.org

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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

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

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

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

Implementing mesh-based approaches for deformable objects on GPU

Guido Ranzuglia, Paolo Cignoni, Fabio Ganovelli, Roberto Scopign

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Tags: Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Rendering

December 21, 2010 by hgpu

Interactive visibility culling in complex environments using occlusion-switches

Naga K. Govindaraju, Avneesh Sud, Sung-Eui Yoon, Dinesh Manoch

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Tags: Computer science, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL, Rendering

December 21, 2010 by hgpu

GPU Acceleration of Particle-based Volume Rendering using CUDA

Ding Zhongming, Naohisa Sakamoto, Yasuo Ebara, Koji Koyamada

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

December 19, 2010 by hgpu

Particle-based volume rendering

Naohisa Sakamoto, Jorji Nonaka, Koji Koyamada, S. Tanaka

Tags: Computer science, Rendering

December 19, 2010 by hgpu

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

See all packages

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high performance computing on graphics processing units: hgpu.org

Multi-GPU volume rendering using MapReduce

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

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

Ray Casting Deformable Models on the GPU

Iterative Methods for Visualization of Implicit Surfaces 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

Implementing mesh-based approaches for deformable objects on GPU

Interactive visibility culling in complex environments using occlusion-switches

GPU Acceleration of Particle-based Volume Rendering using CUDA

Particle-based volume rendering

Recent source codes

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

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

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