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Accelerating MATLAB with GPU computing a primer with examples

Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge, explains the related background on hardware, architecture and programming for ease of use, and provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be re...

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Bibliographic Details
Main Authors: Suh, Jung W., Kim, Youngmin (Author)
Format: eBook
Language:English
Published: Waltham, MA Morgan Kaufmann 2014
Edition:First edition
Subjects:
Matlab. / Http://id.loc.gov/authorities/names/n92036881
Processeurs Graphiques
Graphics Processing Units / Http://id.loc.gov/authorities/subjects/sh2009010908
Matlab / Fast
Matlab. / Blmlsh
Computers / General / Bisacsh
Numerical Analysis / Data Processing
Numerical Analysis / Data Processing / Fast
Mathematics / Ukslc
Analyse Numérique / Informatique
Graphics Processing Units / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge, explains the related background on hardware, architecture and programming for ease of use, and provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects
Physical Description:x, 248 pages illustrations (some color)
ISBN:9780124079168
9780124080805
0124079164
1306154421
0124080804

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