high performance computing on graphics processing units: hgpu.org

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Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Dan Connors

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Tags: Computer science, Computer vision, CUDA, Education, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

May 11, 2013 by hgpu

Blum Blum Shub on the GPU

Mikael Olsson, Niklas Gullberg

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Pseudo-random number generators, Security, Thesis

May 11, 2013 by hgpu

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

Dongliang Xu, Hongli Zhang, Yujian Fan

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Tags: Biology, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce GTX 570, Security, String matching

May 11, 2013 by hgpu

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Computer science, Matrix multiplication, nVidia, nVidia GeForce GT 650 M, OpenCL, Tesla C2050

May 11, 2013 by hgpu

Real-Time Object Tracking by CUDA-accelerated Neural Network

Mikhail S. Tarkov, Sergey V. Dubynin

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Tags: Algorithms, Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce 9800 GT

May 11, 2013 by hgpu

A GPU-based Parallel Fireworks Algorithm for Optimization

Ke Ding, Shaoqiu Zheng, Ying Tan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Particle swarm optimization

May 11, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

GPU Sparse Matrix Multiplication with CUDA

Sean Rose

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tutorial

May 9, 2013 by hgpu

OpenCL Implementation of Motion Estimation for Cloud Video Processing

Raffaele Gaetano, Beatrice Pesquet-Popescu

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Tags: Algorithms, Cloud, Computer science, nVidia, OpenCL, Tesla C1060

May 9, 2013 by hgpu

libWater: Heterogeneous Distributed Computing Made Easy

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, OpenCL

May 9, 2013 by hgpu

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

R. Gaetano, G. Chierchia, B. Pesquet-Popescu

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Tags: Algorithms, Computer science, nVidia, OpenCL, Optimization, Stereo vision, Tesla C1060

May 9, 2013 by hgpu

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Chi-Jer Yu, Chii-Tung Liu

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Tags: Algorithms, Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GTX 280

May 8, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Blum Blum Shub on the GPU

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

A portable and high-performance matrix operations library for CPUs, GPUs and beyond

Real-Time Object Tracking by CUDA-accelerated Neural Network

A GPU-based Parallel Fireworks Algorithm for Optimization

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

GPU Sparse Matrix Multiplication with CUDA

libWater: Heterogeneous Distributed Computing Made Easy

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

Programming and Performance of Graphics Processors in Shock Waves Simulation by Finite Volume Method

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)