high performance computing on graphics processing units: hgpu.org

Programming

Computational Fluid Dynamics using OpenCL – a Practical Introduction

T. Bednarz, Luke Domanski, J. A. Taylor

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Tags: Algorithms, Finite difference, Fluid dynamics, Navier-Stokes equations, nVidia, nVidia GeForce GT 330 M, OpenCL, Review

January 25, 2012 by hgpu

Solving Bivariate Polynomial Systems on a GPU

Marc Moreno Maza, Wei Pan

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Tags: Algorithms, CUDA, FFT, Mathematics, nVidia, nVidia GeForce GTX 285, Optimization, Probability, Tesla C2050

January 25, 2012 by hgpu

GPApriori: GPU-Accelerated Frequent Itemset Mining

Fan Zhang, Yan Zhang, Jason Bakos

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, Tesla S1070

January 24, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

Multipattern String Matching On A GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 200, String matching

January 24, 2012 by hgpu

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, Cell processor, Clustering, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480

January 24, 2012 by hgpu

Cost Efficient PageRank Computation using GPU

Praveen K., Vamshi Krishna K., Anil Sri Harsha B., S. Balasubramanian, P.K. Baruah

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Tags: Algorithms, Computer science, CUBLAS, CUDA, List ranking, nVidia, Sparse matrix, Tesla T20

January 24, 2012 by hgpu

A Computationally Efficient Approach for Exemplar-based Color Image Inpainting using GPU

Dibyam Pradhan, Naveen M., Sai Hareesh A., Pallav Kumar Baruah, Venkatachalam Chandrasekaran

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 310 M, Tesla C2050

January 23, 2012 by hgpu

Accelerating Beam Dynamics Simulations with GPUs

I.V. Pogorelov, K. Amyx, P. Messmer

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, Optimization, Physics, Tesla C2070

January 23, 2012 by hgpu

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Roberto Uribe-Paredes, Pedro Valero-Lara, Enrique Arias, Jose L. Sanchez, Diego Cazorla

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 285

January 23, 2012 by hgpu

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Arno Leist

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Tags: Algorithms, Cell processor, Computer science, CUDA, Graph theory, Neural networks, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, Phase transition, Thesis

January 23, 2012 by hgpu

Convolution of large 3D images on GPU and its decomposition

Pavel Karas, David Svoboda

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 295

January 23, 2012 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

Programming

Computational Fluid Dynamics using OpenCL – a Practical Introduction

Solving Bivariate Polynomial Systems on a GPU

GPApriori: GPU-Accelerated Frequent Itemset Mining

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Multipattern String Matching On A GPU

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A Computationally Efficient Approach for Exemplar-based Color Image Inpainting using GPU

Accelerating Beam Dynamics Simulations with GPUs

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Convolution of large 3D images on GPU and its decomposition

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

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