high performance computing on graphics processing units: hgpu.org

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hgpu.org » Programming » OpenCL

Accelerated Wide Baseline Matching using OpenCL

Jian Cao, Jie Liang, Xiao-fang Xie, Xun-qiang Hu

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Tags: Computer science, Computer vision, Image registration, nVidia, nVidia GeForce 8800 GT, OpenCL

February 12, 2013 by hgpu

Implementation of Fast Artificial Neural Network for Pattern Classification on Heterogeneous System

Devendra Singh Bharangar, Amit Doeger, Yogesh Kumar Mittal

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Tags: ATI, Computer science, Heterogeneous systems, Neural networks, nVidia, OpenCL

February 6, 2013 by hgpu

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

Athanasios Theocharidis, Gibran Hemani, Michael Kargas, Tom C. Freeman

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Biology, Graph layout, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, OpenGL, Package, Visualization

February 5, 2013 by hgpu

Heterogeneous GPU and CPU acceleration of a finite volume compressible flow solver for multiblock structured grids

Luke Fitzgerald

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Tags: Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla M2050, Thesis

February 2, 2013 by hgpu

Embedding OpenCL in GHC Haskell

Benedict R. Gaster, J. Garrett Morris

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Tags: ATI, Computer science, Haskell, OpenCL, Package

February 1, 2013 by hgpu

Particle method on GPU

Jean-Matthieu Etancelin, Georges-Henri Cottet, Christophe Picard, Franck Perignon

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Tags: Algorithms, ATI, ATI Radeon HD 6770 M, Computer science, OpenCL, Python

January 31, 2013 by hgpu

Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck

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Tags: Algorithms, Biology, Medicine, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Package

January 30, 2013 by hgpu

Reaction-diffusion model Monte Carlo simulations on the GPU

Raoul D. Schram

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Tags: Computational Physics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, OpenCL, Physics, Statistical Mechanics

January 28, 2013 by hgpu

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

Ishan Rajani, G Nanda Gopal

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Tags: AMD FireStream 9270, ATI, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Warp level parallelism

January 26, 2013 by hgpu

Selection algorithm of graphic accelerators in heterogeneous cluster for optimization computing

A. M. Lavreniuk, M. S. Lavreniuk

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, OpenCL, Tesla M2050

January 26, 2013 by hgpu

Vlasov on GPU (VOG Project)

M. Mehrenberger, C. Steiner, L. Marradi, N. Crouseilles, E. Sonnendrucker, B. Afeyan

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Tags: FFT, Numerical simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 470, OpenCL, Physics, Plasma physics, Tesla C2070

January 25, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 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

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high performance computing on graphics processing units: hgpu.org

Programming

Accelerated Wide Baseline Matching using OpenCL

Implementation of Fast Artificial Neural Network for Pattern Classification on Heterogeneous System

A Comparison of CPU and OpenCL Parallelization Methods for Correlation and Graph Layout Algorithms used in the Network Analysis of High Dimensional Data

Heterogeneous GPU and CPU acceleration of a finite volume compressible flow solver for multiblock structured grids

Embedding OpenCL in GHC Haskell

Particle method on GPU

Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

Reaction-diffusion model Monte Carlo simulations on the GPU

Advanced Trends of Heterogeneous Computing with CPU-GPU Integration: Comparative Study

Selection algorithm of graphic accelerators in heterogeneous cluster for optimization computing

Vlasov on GPU (VOG Project)

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

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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