high performance computing on graphics processing units: hgpu.org

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Meta-Programming and Auto-Tuning in the Search for High Performance GPU Code

Michael Vollmer, Bo Joel Svensson, Eric Holk, Ryan Newton

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Tags: Computer science, CUDA, nVidia, Performance, Search strategies, Tesla K40

June 7, 2015 by hgpu

The implementation and optimization of Bitonic sort algorithm based on CUDA

Qi Mu, Liqing Cui, Yufei Song

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Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

June 7, 2015 by hgpu

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Thomas L. Falch, Anne C. Elster

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, Deep learning, Heterogeneous systems, Machine learning, Neural networks, nVidia, OpenCL, Tesla K40

June 5, 2015 by hgpu

Accelerated Nodal Discontinuous Galerkin Simulations for Reverse Time Migration with Large Clusters

Axel Modave, Amik St-Cyr, Wim A. Mulder, Tim Warburton

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Tags: ATI, ATI Radeon HD 7970, Computational Physics, CUDA, Geophysics, MPI, nVidia, nVidia GeForce GTX 980, OpenCL, Physics, Tesla K20, Tesla K40

June 5, 2015 by hgpu

Blocks and Fuel: Frameworks for deep learning

Bart van Merrienboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio

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Tags: Computer science, CUDA, Deep learning, Linear Algebra, Machine learning, MPI, Neural networks, nVidia, Package, Python, Symbolic Computation, Visualization

June 5, 2015 by hgpu

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Pall Szilard, Mark James Abraham, Carsten Kutzner, Berk Hess, Erik Lindahl

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Tags: Algorithms, Biomolecules, Computer science, CUDA, Heterogeneous systems, Molecular dynamics, Molecular simulation, MPI, nVidia, Tesla C2070, Tesla K20

June 5, 2015 by hgpu

Fast algorithms and efficient GPU implementations for the Radon transform and the back-projection operator represented as convolution operators

Fredrik Andersson, Marcus Carlsson, Viktor V. Nikitin

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Tags: Algorithms, CUDA, FFT, Image processing, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 770, Radon transform

June 5, 2015 by hgpu

Genetically Improved BarraCUDA

W. B. Langdon, Brian Yee Hong Lam

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Tags: Algorithms, Benchmarking, Biology, CUDA, Genomics, nVidia, nVidia GeForce GT 730, Package, Tesla K20, Tesla K40, Tesla K80

June 1, 2015 by hgpu

Research on the fast Fourier transform of image based on GPU

Feifei Shen, Zhenjian Song, Congrui Wu, Jiaqi Geng, Qingyun Wang

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Tags: Algorithms, FFT, Image processing, Mathematical Software, nVidia, nVidia GeForce 8600 GT

June 1, 2015 by hgpu

A Parallel Cellular Automaton Simulation Framework using CUDA

Ryno Fourie

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Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GT 650 M, nVidia GeForce GTX 780, Thesis

June 1, 2015 by hgpu

Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs) using Polarizable Continuum Models

Fang Liu, Nathan Luehr, Heather J. Kulik, Todd J. Martinez

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Tags: Biomolecules, Chemical Physics, Chemistry, CUDA, nVidia, nVidia GeForce GTX Titan, Physics

June 1, 2015 by hgpu

Large-scale network simulation over heterogeneous computing architecture

Bilel Ben Romdhanne

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 860, Thesis

May 29, 2015 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

Meta-Programming and Auto-Tuning in the Search for High Performance GPU Code

The implementation and optimization of Bitonic sort algorithm based on CUDA

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Accelerated Nodal Discontinuous Galerkin Simulations for Reverse Time Migration with Large Clusters

Blocks and Fuel: Frameworks for deep learning

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

Fast algorithms and efficient GPU implementations for the Radon transform and the back-projection operator represented as convolution operators

Genetically Improved BarraCUDA

Research on the fast Fourier transform of image based on GPU

A Parallel Cellular Automaton Simulation Framework using CUDA

Quantum Chemistry for Solvated Molecules on Graphical Processing Units (GPUs) using Polarizable Continuum Models

Large-scale network simulation over heterogeneous computing architecture

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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