high performance computing on graphics processing units: hgpu.org

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Research on DSP-GPU Heterogeneous Computing System

Xiangzhen Li, Jingying Hu, Weiguo Lv, Guiqiang Wang, Xinrong Cai

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Tags: ATI, ATI Radeon HD 6760, Computer science, DSP, Heterogeneous systems, OpenCL, Particle swarm optimization, Task scheduling

October 20, 2012 by hgpu

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

Ewa Niewiadomska-Szynkiewicz, Michal Marks, Jaroslaw Jantura, Mikolaj Podbielski

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Tags: ATI, ATI FirePro V7800, ATI Radeon HD 6970, Computer science, Distributed computing, GPU cluster, nVidia, OpenCL, Security, Tesla M2050

October 19, 2012 by hgpu

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Carolin Wolf

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Tags: Algorithms, ATI, ATI Mobility Radeon HD 5470, ATI Radeon HD 4870, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenCL, Tesla M1060, Thesis

October 17, 2012 by hgpu

Generalized Resource Allocation for the Cloud

Anshul Rai, Ranjita Bhagwan, Saikat Guha

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Tags: ATI, ATI Radeon HD 6990, Cloud, Computer science, nVidia, OpenCL, Performance, Tesla C2075, Virtualization

October 17, 2012 by hgpu

Particle Filters on Multi-Core Processors

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: ATI, ATI Radeon HD 6970, Bayesian, Computer science, Computer vision, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Particle filtering

October 16, 2012 by hgpu

Geometry Based Visualization with OpenCL

Joao Pedro Martins Rogeiro

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Tesla C1060, Tesla C2050, Thesis, Visualization

October 15, 2012 by hgpu

Parallel Programming using OpenCL on Modern Architectures

Allan Svejstrup Nielsen, Allan Peter Engsig-Karup, Bernd Dammann

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Tags: ATI, ATI Radeon HD 6990, Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 590, OpenCL, Overview, Tutorial

October 15, 2012 by hgpu

Kinetics of liquid-solid phase transition in large nickel clusters

Alexander V. Yakubovich, Gennady Sushko, Stefan Schramm, Andrey V. Solov'yov

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Tags: ATI, ATI Radeon HD 5870, Computational Physics, Mesoscale and Nanoscale Physics, Molecular dynamics, OpenCL, Phase transition, Physics, Solidification

October 15, 2012 by hgpu

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

X. Faure, F. Zara, F. Jaillet, J-M. Moreau

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Tags: 3D Graphics and Realism, Computer science, FEM, Finite element method, nVidia, nVidia GeForce GTX 560, OpenCL, Virtual reality

October 13, 2012 by hgpu

AeminiumGPU: An Intelligent Framework for GPU Programming

Alcides Fonseca, Bruno Cabral

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Tags: Computer science, Heterogeneous systems, Java, MapReduce, nVidia, nVidia GeForce GTX 285, OpenCL, Package

October 13, 2012 by hgpu

Accelerating Cost Aggregation for Real-Time Stereo Matching

Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk Sips, Gorkem Saygili, Laurens van der Maaten

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Tags: Algorithms, Image processing, nVidia, nVidia Quadro FX 5000, nVidia Quadro NVS 140 M, OpenCL, Optimization

October 13, 2012 by hgpu

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

Max Grossman, Sameer Kulkarni

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, Machine learning, OpenCL, Optimization

October 9, 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

Research on DSP-GPU Heterogeneous Computing System

A Hybrid CPU/GPU Cluster for Encryption and Decryption of Large Amounts of Data

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Particle Filters on Multi-Core Processors

Geometry Based Visualization with OpenCL

Parallel Programming using OpenCL on Modern Architectures

Kinetics of liquid-solid phase transition in large nickel clusters

An implicit Tensor-Mass solver on the GPU for soft bodies simulation

AeminiumGPU: An Intelligent Framework for GPU Programming

Accelerating Cost Aggregation for Real-Time Stereo Matching

Applying Genetic Algorithms to Tune Heterogeneous Platform Configurations

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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