high performance computing on graphics processing units: hgpu.org

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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

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Gunter Schneckenreither, Stefan Hepp, Daniel Prokesch

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, OpenGL

May 8, 2013 by hgpu

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Xiang Ying, Shi-Qing Xin, Ying He

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Tags: Algorithms, Computer science, CUDA, Geodesic Distances, Graphics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 470, nVidia GeForce GTX 580

May 8, 2013 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Construction and Implementation of a Simple Agent-Based System on GPU-Architectures

Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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