high performance computing on graphics processing units: hgpu.org

Programming

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A Framework for Megascale Agent Based Model Simulations on the GPU

Mikola Lysenko, Roshan D'Souza, Keyvan Rahmani

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Programming techniques

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

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Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Sparse matrix

December 13, 2010 by hgpu

Toward a multicore architecture for real-time ray-tracing

V. Govindaraju, P. Djeu, K. Sankaralingam, M. Vernon, W. R. Mark

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Tags: Algorithms, Architecture, Computer science, Rendering

December 13, 2010 by hgpu

Anisotropic noise

Alexander Goldberg, Matthias Zwicker, Fredo Durand

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6800 Ultra, Rendering, Shaders

December 13, 2010 by hgpu

Real-time gradient-domain painting

James McCann, Nancy S. Pollard

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8600 GTS

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

Low viscosity flow simulations for animation

Jeroen Molemaker, Jonathan M. Cohen, Sanjit Patel, Jonyong Noh

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, Partial differential equations, PDEs

December 12, 2010 by hgpu

Managing coherent groups

Renato Silveira, Edson Prestes, Luciana P. Nedel

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Tags: Algorithms, Computer science, Games, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

Hans de Visser, Olivier Comas, David Conlan, Sebastien Ourselin, Josh Passenger, Olivier Salvado

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Tags: Computed tomography, CT, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 8800 GTX

December 12, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

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

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

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A Framework for Megascale Agent Based Model Simulations on the GPU

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Toward a multicore architecture for real-time ray-tracing

Anisotropic noise

Real-time gradient-domain painting

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Low viscosity flow simulations for animation

Managing coherent groups

Deforming a High-Resolution Mesh in Real-Time by Mapping onto a Low-Resolution Physical Model

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

Recent source codes

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

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

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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