high performance computing on graphics processing units: hgpu.org

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A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Chun-Liang Lee, Yi-Shan Lin, Yaw-Chung Chen

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX 680, Security

October 13, 2015 by hgpu

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Daniel Berjon, Guillermo Gallego, Carlos Cuevas, Francisco Moran, Narciso Garcia

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Tags: Computer science, Computer vision, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 580

October 13, 2015 by hgpu

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

Wensen Feng, Yunjin Chen

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Tags: CNN, Computer science, Computer vision, Microscopy, nVidia, nVidia GeForce GTX 780 Ti, Signal denoising

October 13, 2015 by hgpu

Performance Analysis of an Astrophysical Simulation Code on the Intel Xeon Phi Architecture

Vahid Noormofidi, Susan R. Atlas, Huaiyu Duan

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Tags: Astrophysics, Computer science, Intel Xeon Phi, MPI, OpenMP, Performance

October 11, 2015 by hgpu

Meta-programming and Multi-stage Programming for GPGPUs

Marc Baboulin, Joel Falcou, Ian Masliah

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Tags: Computer science, CUDA, nVidia, Tesla K40

October 11, 2015 by hgpu

GPU acceleration of preconditioned solvers for ill-conditioned linear systems

Rohit Gupta

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Tags: Computer science, Conjugate gradient solver, MPI, nVidia, Tesla C2070, Thesis

October 11, 2015 by hgpu

Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit

Felix Weninger, Johannes Bergmann, Bjorn Schuller

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Tags: Benchmarking, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 560, Package, Speech recognition

October 8, 2015 by hgpu

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

Gil Shapira, Tal Hassner

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 720, Package

October 8, 2015 by hgpu

Solving the Quadratic Assignment Problem on heterogeneous environment (CPUs and GPUs) with the application of Level 2 Reformulation and Linearization Technique

Alexandre Domingues Goncalves, Artur Alves Pessoa, Lucia Maria de Assumpcao Drummond, Cristiana Bentes, Ricardo Farias

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, Tesla C2070

October 8, 2015 by hgpu

Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization

Adrian Castello, Rafael Mayo, Judit Planas, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, GPU cluster, nVidia, OmpSs, Tesla C2050, Tesla M2050, Virtualization

October 8, 2015 by hgpu

MAGMA Embedded: Towards a Dense Linear Algebra Library for Energy Efficient Extreme Computing

Azzam Haidar, Stanimire Tomov, Piotr Luszczek, Jack Dongarra

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, nVidia Jetson TK1, Package

October 6, 2015 by hgpu

Parallel Graph Algorithms on the Xeon Phi Coprocessor

Dennis Felsing

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Tags: Algorithms, Computer science, Graph theory, Intel Xeon Phi, OpenMP, Thesis, Visualization

October 6, 2015 by hgpu

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

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

An HPC Benchmark Survey and Taxonomy for Characterization

HDM: Home made Diffusion Models

Home-made Diffusion Model from Scratch to Hatch

General Matrix Multiplication (GEMM)

High Performance Matrix Multiplication

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection

Optimal Piecewise Linear Function Approximation for GPU-based Applications

Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion

Performance Analysis of an Astrophysical Simulation Code on the Intel Xeon Phi Architecture

Meta-programming and Multi-stage Programming for GPGPUs

GPU acceleration of preconditioned solvers for ill-conditioned linear systems

Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

Solving the Quadratic Assignment Problem on heterogeneous environment (CPUs and GPUs) with the application of Level 2 Reformulation and Linearization Technique

Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization

MAGMA Embedded: Towards a Dense Linear Algebra Library for Energy Efficient Extreme Computing

Parallel Graph Algorithms on the Xeon Phi Coprocessor

Recent source codes

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

TRUST: a thermalhydraulic software package for CFD simulations

Modular: The Modular Platform (includes MAX & Mojo)

Allo: Accelerator Design Language

Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization

HPC Benchmark Survey

HDM: Home made Diffusion Models

General Matrix Multiplication (GEMM)

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