high performance computing on graphics processing units: hgpu.org

Applications

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Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Wei Xu, Klaus Mueller

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Tags: Computed tomography, CT, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GT, OpenGL

December 18, 2010 by hgpu

Long time-scale simulations of in vivo diffusion using GPU hardware

Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-Mei W. Hwu, Zaida Luthey-Schulten

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Tags: Bioinformatics, Biology, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600

December 18, 2010 by hgpu

Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 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

GPU clusters for high-performance computing

Volodymyr V. Kindratenko, Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, Wen-mei Hwu

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla S1070

December 18, 2010 by hgpu

Accelerating Template-Based Matching on the GPU for AR Applications

Yannick Allusse, Raphael Grasset, Mark Billinghurst

Tags: Computer science, Computer vision

December 18, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

Morgan McGuire

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Source codes

Tags: GLSL, Image processing, nVidia, nVidia GeForce 8600 M GT, OpenGL, Package

December 18, 2010 by hgpu

GPU-based Island Model for Evolutionary Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talb

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 280, Optimization

December 18, 2010 by hgpu

Accelerating K-Means on the Graphics Processor via CUDA

Mario Zechner, Michael Granitzer

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9600 GT

December 18, 2010 by hgpu

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert T. Collins, N. Vijaykrishnan

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 18, 2010 by hgpu

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

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

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Tags: Architecture, Computer science, Games, nVidia, nVidia GeForce 3, OpenGL

December 18, 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

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Long time-scale simulations of in vivo diffusion using GPU hardware

Large-scale FFT on GPU clusters

Shader Performance Analysis on a Modern GPU Architecture

GPU clusters for high-performance computing

Accelerating Template-Based Matching on the GPU for AR Applications

Accelerating SQL Database Operations on a GPU with CUDA

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

GPU-based Island Model for Evolutionary Algorithms

Accelerating K-Means on the Graphics Processor via CUDA

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

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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