high performance computing on graphics processing units: hgpu.org

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Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Shay I. Heizler, David A. Kessler

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Tags: Condensed matter, CUDA, nVidia, Soft Condensed Matter, Statistical Mechanics, Tesla

April 1, 2015 by hgpu

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

Sreeram Potluri

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla, Tesla C2075, Tesla K20, Tesla M2090

September 29, 2014 by hgpu

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

D.William Albert, K.Fayaz, D.Veerabhadra Babu

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Tags: Algorithms, Computer science, Data mining, Java, Machine learning, nVidia, OpenCL, Tesla

August 26, 2014 by hgpu

Understanding the ISA impact on GPU Architecture

Mayank Vinodbhai Kothiya

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, PTX, Tesla, Thesis

July 28, 2014 by hgpu

Multicore Computing: Algorithms, Architectures, and Applications

Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar

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Tags: Algorithms, Biology, Book, Computer science, CUDA, Linear Algebra, nVidia, String matching, Tesla

January 6, 2014 by hgpu

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Brent Leback, Douglas Miles, Michael Wolfe

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Tags: ATI, Compilers, Computer science, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla

December 18, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla

April 7, 2013 by hgpu

Inter-Warp Instruction Temporal Locality in Deep-Multithreaded GPUs

Ahmad Lashgar, Amirali Baniasadi, Ahmad Khonsari

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Tags: Computer science, Energy-efficient computing, GPGPU-sim, nVidia, Tesla

January 17, 2013 by hgpu

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

Claus Braun, Stefan Holst, Hans-Joachim Wunderlich, Juan Manuel Castillo, Joachim Gross

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Tags: CUDA, Hybrid computing, Molecular simulation, nVidia, Physics, Tesla, Thermodynamics

November 5, 2012 by hgpu

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, String matching, Tesla

August 3, 2012 by hgpu

Linearised inversion with GPUs

Chris Leader, Robert Clapp

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Source codes

Tags: CUDA, Image processing, nVidia, Package, Tesla

July 13, 2012 by hgpu

Affine Vector Cache for memory bandwidth savings

Sylvain Collange, Alexandre Kouyoumdjian

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Tags: Benchmarking, Computer science, CUDA, Memory model, nVidia, Tesla

December 16, 2011 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

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Enabling Efficient Use of MPI and PGAS Programming Models on Heterogeneous Clusters with High Performance Interconnects

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

Understanding the ISA impact on GPU Architecture

Multicore Computing: Algorithms, Architectures, and Applications

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Inter-Warp Instruction Temporal Locality in Deep-Multithreaded GPUs

Acceleration of Monte-Carlo Molecular Simulations on Hybrid Computing Architectures

GPU-to-GPU and Host-to-Host multipattern string matching on a GPU

Linearised inversion with GPUs

Affine Vector Cache for memory bandwidth savings

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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