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GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

Mohammadhossein Afrasiabi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Rendering, Sensing, Software Engineering, Thesis

December 13, 2013 by hgpu

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

Wu Qingshuang, Tong Chunya, Wang Qiang, Cheng Xiangfu

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 410 M, Path problems

December 13, 2013 by hgpu

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenMP

December 13, 2013 by hgpu

Inter-block synchronization on a GPGPU

Shaoxuan Shen

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Tags: ATI, ATI Radeon HD 5870, Computer science, OpenCL, Thesis

December 12, 2013 by hgpu

Lessons learned from contrasting a BLAS kernel implementations

Andres More

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Tags: BLAS, Computer science, CUDA, nVidia, nVidia Quadro FX 770 M, Performance

December 12, 2013 by hgpu

Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems

Abdullah Gharaibeh, Elizeu Santos-Neto, Lauro Beltrao Costa, Matei Ripeanu

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Source codes

Tags: Algorithms, Computer science, CUDA, Graph theory, Heterogeneous systems, Hybrid computing, nVidia, Package

December 12, 2013 by hgpu

Job Parallelism using Graphical Processing Unit Individual Multi-Processors and Localised Memory

D.P. Playne, K.A. Hawick

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Tags: Computer science, CUDA, Data parallelism, nVidia, Tesla M2075

December 11, 2013 by hgpu

Runtime Support toward Transparent Memory Access in GPU-accelerated Heterogeneous Systems

Feng Ji

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Tags: Computer science, Hadoop, Heterogeneous systems, MapReduce, MPI, nVidia, nVidia GeForce GTX 280, Tesla M2070, Thesis

December 11, 2013 by hgpu

A New Software Based GPU Framework

Evgeny Miretsky

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis

December 11, 2013 by hgpu

A GPU-Accelerated Framework for Image Processing and Computer Vision

Ashwini.A.Patil, Pankaja.A.Shahapure

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Tags: Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenCV

December 11, 2013 by hgpu

High Performance Poisson Equation Solver for Hybrid CPU/GPU Systems

Stoyan Markov, Peicho Petkov, Damyan Grancharov, Georgi Georgiev

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Tags: Computer science, Electrostatics, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 580, Poisson equation

December 11, 2013 by hgpu

GPU Accelerated Parallel Iris Localization

Abhishek Sinha

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Tags: Biometrics, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GT 410 M, nVidia GeForce GTX 460, Thesis

December 11, 2013 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

Applications

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

TuCCompi: A Multi-Layer Programing Model for Heterogeneous Systems with Auto-Tuning Capabilities

Inter-block synchronization on a GPGPU

Lessons learned from contrasting a BLAS kernel implementations

Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems

Job Parallelism using Graphical Processing Unit Individual Multi-Processors and Localised Memory

Runtime Support toward Transparent Memory Access in GPU-accelerated Heterogeneous Systems

A New Software Based GPU Framework

A GPU-Accelerated Framework for Image Processing and Computer Vision

High Performance Poisson Equation Solver for Hybrid CPU/GPU Systems

GPU Accelerated Parallel Iris Localization

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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