high performance computing on graphics processing units: hgpu.org

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OpenCL-Accelerated Simplified General Perturbations 4 Algorithm

Juan Andres Fraire, Pablo Ferreyra, Carlos Marques

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Tags: ATI, ATI Radeon HD 5870, Earth and Space Sciences, Heterogeneous systems, nVidia, nVidia GeForce 9500 GT, OpenCL, Security

March 10, 2014 by hgpu

Parallelization of the Algorithm WHAM with NVIDIA CUDA

Nicolo' Savioli

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GT 320 M, Physics, Thesis

February 2, 2014 by hgpu

Hybrid algorithms for efficient Cholesky decomposition and matrix inverse using multicore CPUs with GPU accelerators

Gary Macindoe

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, Machine learning, Matrix decomposition, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Tesla S1070, Thesis

January 29, 2014 by hgpu

GPU-Framework for Teamwork Action Recognition

Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce 9500 GT, OpenCV

October 15, 2013 by hgpu

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Baha Sen, Nesrin Aydin Atasoy, Caner Ozcan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, OpenMP, Performance, Programming techniques

January 7, 2013 by hgpu

Numerical computations in Java with CUDA

Bogdan Oancea, Tudorel Andrei, Andreea Iluzia Iacob

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Tags: Computer science, CUBLAS, CUDA, Java, Linear Algebra, nVidia, nVidia GeForce 9500 GT

January 7, 2013 by hgpu

Radionuclides migration modelling using artificial neural networks and parallel computing

O.S. Hilko, S.P. Kundas, I.A. Gishkeluk

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Tags: Algorithms, Biology, CUDA, MPI, Neural networks, nVidia, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 220 M

December 29, 2012 by hgpu

Characterization and Performance Analysis for 3D Benchmarks

Joseph Issa

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Tags: Analytical model, ATI, ATI Radeon HD 3470, Benchmarking, Computer science, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9400 GT, nVidia GeForce 9500 GT, Performance

November 25, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

GPU-based cellular automata simulations of laser dynamics

M.R. Lopez-Torres, J.L. Guisado, F. Jimenez-Morales, F. Diaz-del-Rio

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Tags: Algorithms, Cellular automata, CUDA, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics

July 23, 2012 by hgpu

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Storage system, Tesla C2070

July 3, 2012 by hgpu

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Fan Zhang, Zheng Li, Bingnan Wang, Maosheng Xiang, Wen Hong

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Tags: CUDA, nVidia, nVidia GeForce 9500 GT, Physics, Signal processing

March 12, 2012 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

OpenCL-Accelerated Simplified General Perturbations 4 Algorithm

Parallelization of the Algorithm WHAM with NVIDIA CUDA

Hybrid algorithms for efficient Cholesky decomposition and matrix inverse using multicore CPUs with GPU accelerators

GPU-Framework for Teamwork Action Recognition

Performance comparison of gauss-Jordan elimination method using OpenMP and CUDA

Numerical computations in Java with CUDA

Radionuclides migration modelling using artificial neural networks and parallel computing

Characterization and Performance Analysis for 3D Benchmarks

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

GPU-based cellular automata simulations of laser dynamics

On the Use of GPUs in Realizing Cost-Effective Distributed RAID

Hybrid general-purpose computation on GPU (GPGPU) and computer graphics synthetic aperture radar simulation for complex scenes

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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