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Designing Scientific Applications on GPUs

Book

Designing Scientific Applications on GPUs

DOI link for Designing Scientific Applications on GPUs

Designing Scientific Applications on GPUs book

Designing Scientific Applications on GPUs

DOI link for Designing Scientific Applications on GPUs

Designing Scientific Applications on GPUs book

Edited ByRaphael Couturier
Edition 1st Edition
First Published 2013
eBook Published 13 November 2013
Pub. Location New York
Imprint Chapman and Hall/CRC
DOI https://doi.org/10.1201/b16051
Pages 498
eBook ISBN 9780429100857
Subjects Computer Science
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Couturier, R. (Ed.). (2013). Designing Scientific Applications on GPUs (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b16051

ABSTRACT

Many of today's complex scientific applications now require a vast amount of computational power. General purpose graphics processing units (GPGPUs) enable researchers in a variety of fields to benefit from the computational power of all the cores available inside graphics cards.Understand the Benefits of Using GPUs for Many Scientific Applications

TABLE OF CONTENTS

part I|2 pages

Presentation of GPUs

chapter 1|10 pages

Presentation of the GPU architecture and of the CUDA environment

ByRaphae¨l Couturier

chapter 2|10 pages

Introduction to CUDA

ByRaphae¨l Couturier

part II|2 pages

Image processing

chapter 3|6 pages

Setting up the environment

Edited ByRaphael Couturier

chapter 4|22 pages

Implementing a fast median filter

Edited ByRaphael Couturier

chapter 5|18 pages

Implementing an efficient convolution operation on GPU

Edited ByRaphael Couturier

part III|2 pages

Software development

chapter 6|32 pages

Development of software components for heterogeneous many-core architectures

Edited ByRaphael Couturier

chapter 7|46 pages

Development methodologies for GPU and cluster of GPUs

Edited ByRaphael Couturier

part IV|2 pages

Optimization

chapter 8|30 pages

GPU-accelerated tree-based exact optimization methods

Edited ByRaphael Couturier

chapter 9|32 pages

Parallel GPU-accelerated metaheuristics

ByMalika Mehdi and Ahce`ne Bendjoudi, Lakhdar Loukil, and Nouredine Melab

chapter 10|34 pages

Linear programming on a GPU: a case study

Edited ByRaphael Couturier

part V|2 pages

Numerical applications

chapter 11|44 pages

Fast hydrodynamics on heterogeneous many-core hardware

Edited ByRaphael Couturier

chapter 12|16 pages

Parallel monotone spline interpolation and approximation on GPUs

ByGleb Beliakov, Shaowu Liu

chapter 13|20 pages

Solving sparse linear systems with GMRES and CG methods on GPU clusters

ByLilia Ziane Khodja, Raphae¨l Couturier, and Jacques Bahi

chapter 14|24 pages

Solving sparse nonlinear systems of obstacle problems on GPU clusters Chau, and Pierre Spite´ri

ByLilia Ziane Khodja, Raphae¨l Couturier, and Jacques Bahi, Ming

chapter 15|16 pages

Ludwig: multiple GPUs for a complex fluid lattice Boltzmann application

Edited ByRaphael Couturier

chapter 16|24 pages

Numerical validation and performance optimization on GPUs of an application in atomic physics

Edited ByRaphael Couturier

chapter 17|18 pages

A GPU-accelerated envelope-following method for switching power converter simulation

Edited ByRaphael Couturier

part VI|2 pages

Other

chapter 18|26 pages

Implementing multi-agent systems on GPU

Edited ByRaphael Couturier

chapter 19|12 pages

Pseudorandom number generator on GPU

Edited ByRaphael Couturier

chapter 20|21 pages

Solving large sparse linear systems for integer factorization on GPUs

ByBertil Schmidt, Hoang-Vu Dang
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