high performance computing on graphics processing units: hgpu.org

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Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Ben Cope, Peter Y. K. Cheung, Wayne Luk, Lee Howes

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Tags: FPGA, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal processing

November 5, 2010 by hgpu

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

T. Klein, M. Strengert, S. Stegmaier, T. Ertl

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 7800 GTX, OpenGL, Raytracing, Visualization

November 5, 2010 by hgpu

GPUTeraSort: high performance graphics co-processor sorting for large database management

Naga Govindaraju, Jim Gray, Ritesh Kumar, Dinesh Manocha

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GT, Sorting

November 5, 2010 by hgpu

2D/3D image registration on the GPU

A. Kubias, F. Deinzer, T. Feldmann, D. Paulus, B. Schreiber, Th Brunner

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Tags: Image processing, Image registration, nVidia, nVidia GeForce 7800 GS, OpenGL

November 4, 2010 by hgpu

Treecode and fast multipole method for N-body simulation with CUDA

Rio Yokota, Lorena Barba

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Tags: Computational Physics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 295, Package, Physics

November 4, 2010 by hgpu

Hardware-Accelerated Volume Rendering for Real-Time Medical Data Visualization

Rui Shen, Pierre Boulanger

Tags: Computer science, Image processing, Medicine, Rendering, Visualization

November 4, 2010 by hgpu

Simple dynamic LOD for geometry images

Benjam'{i}n Hernandez, Isaac Rudomin

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

November 4, 2010 by hgpu

CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

Yongchao Liu, Douglas Maskell, Bertil Schmidt

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Tags: Bioinformatics, Biology, Computational biology, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Smith-Waterman algorithm

November 4, 2010 by hgpu

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

Hicham Ghorayeb, Bruno Steux, Claude Laurgeau

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Tags: Artificial intelligence, Computer vision, Image processing, nVidia, nVidia GeForce 6600 GT, OpenGL

November 4, 2010 by hgpu

A Fast Implementation of the Octagon Abstract Domain on Graphics Hardware

Francesco Banterle, Roberto Giacobazzi

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Tags: Computer science, nVidia, nVidia GeForce 7950 GX2, Octagon Abstract Domain, OpenGL

November 4, 2010 by hgpu

Fast tridiagonal solvers on the GPU

Yao Zhang, Jonathan Cohen, John D. Owens

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

November 4, 2010 by hgpu

Benchmarking GPUs to tune dense linear algebra

Vasily Volkov, James W. Demmel

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280

November 4, 2010 by hgpu

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

Agentic Code Optimization via Compiler-LLM Cooperation

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

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high performance computing on graphics processing units: hgpu.org

Applications

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware

GPUTeraSort: high performance graphics co-processor sorting for large database management

2D/3D image registration on the GPU

Treecode and fast multipole method for N-body simulation with CUDA

Hardware-Accelerated Volume Rendering for Real-Time Medical Data Visualization

Simple dynamic LOD for geometry images

CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

Boosted Algorithms for Visual Object Detection on Graphics Processing Units

A Fast Implementation of the Octagon Abstract Domain on Graphics Hardware

Fast tridiagonal solvers on the GPU

Benchmarking GPUs to tune dense linear algebra

Recent source codes

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

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

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