high performance computing on graphics processing units: hgpu.org

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Hardware Accelerated Skin Deformation for Animated Crowds

Golam Ashraf and Junyu Zhou

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Tags: 3D Graphics and Realism, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6600, Rendering

December 19, 2010 by hgpu

Shader Performance Analysis on a Modern GPU Architecture

Victor Moya, Carlos Gonzalez, Jordi Roca, Agustin Fernandez, Roger Espasa

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Tags: 3D Graphics and Realism, ATI, Computer science, OpenGL, Performance, Rendering

December 18, 2010 by hgpu

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Won-ki Jeong, Johanna Beyer, Student Member, Markus Hadwiger, Amelio Vazquez, Student Member, Hanspeter Pfister, Senior Member, Ross T. Whitaker

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Tags: Biology, Electron microscopy, Neuroscience, nVidia, nVidia Quadro FX 5800, Rendering, Tesla C1060

December 15, 2010 by hgpu

Real-time saliency-aware video abstraction

Hanli Zhao, Xiaoyang Mao, Xiaogang Jin, Jianbing Shen, Feifei Wei, Jieqing Feng

Tags: Image processing, Real-time graphics, Rendering

December 15, 2010 by hgpu

Creation and control of rain in virtual environments

Anna Puig-Centelles, Oscar Ripolles, Miguel Chover

Tags: Computer science, Real-time graphics, Rendering

December 15, 2010 by hgpu

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Martin Eisemann, Anita Sellent, Marcus Magnor

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

December 15, 2010 by hgpu

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

E. Miandji, Sargazi, Faramarz Samavati, M. Emadi

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Tags: Computer science, DirectX, nVidia, nVidia GeForce 7600 GO, Real-time graphics, Rendering

December 15, 2010 by hgpu

Optimizing Monte Carlo radiosity on graphics hardware

J. Sanjurjo, M. Amor, M. Boo, R. Doallo, J. Casares

Tags: Computer science, CUDA, Monte Carlo simulation, nVidia, Optimization, Rendering

December 15, 2010 by hgpu

A scalable GPU-based approach to shading and shadowing for photorealistic real-time augmented reality

Claus B. Madsen, Rune Laursen

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Tags: DirectX, Image processing, nVidia, nVidia GeForce 6800, Rendering, Visualization

December 15, 2010 by hgpu

Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

A. H. Hassan, C. J. Fluke, D. G. Barnes

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Physics, Rendering

December 15, 2010 by hgpu

GPU-Based Spherical Light Field Rendering with Per-Fragment Depth Correction

S. Todt, C. Rezk-Salama, A. Kolb, K.-D. Kuhnert

Tags: Computer science, Image generation, Rendering

December 14, 2010 by hgpu

Fast Isosurface Rendering on a GPU by Cell Rasterization

B. Liu, G. J. Clapworthy, F. Dong

Tags: Computer science, Image generation, Rendering

December 14, 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

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high performance computing on graphics processing units: hgpu.org

Hardware Accelerated Skin Deformation for Animated Crowds

Shader Performance Analysis on a Modern GPU Architecture

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Real-time saliency-aware video abstraction

Creation and control of rain in virtual environments

Filtered Blending: A new, minimal Reconstruction Filter for Ghosting-Free Projective Texturing with Multiple Images

Real-time multi-band synthesis of ocean water with new iterative up-sampling technique

Optimizing Monte Carlo radiosity on graphics hardware

A scalable GPU-based approach to shading and shadowing for photorealistic real-time augmented reality

Distributed GPU Volume Rendering of ASKAP Spectral Data Cubes

GPU-Based Spherical Light Field Rendering with Per-Fragment Depth Correction

Fast Isosurface Rendering on a GPU by Cell Rasterization

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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