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Accelerating MATLAB with GPU computing: a primer with examples

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully...

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Detalles Bibliográficos
Autores principales: Suh, Jung W, Kim, Youngmin
Lenguaje:eng
Publicado: Elsevier Science 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1641718
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author Suh, Jung W
Kim, Youngmin
author_facet Suh, Jung W
Kim, Youngmin
author_sort Suh, Jung W
collection CERN
description Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for
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institution Organización Europea para la Investigación Nuclear
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publisher Elsevier Science
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spelling cern-16417182021-04-21T21:23:42Zhttp://cds.cern.ch/record/1641718engSuh, Jung WKim, YoungminAccelerating MATLAB with GPU computing: a primer with examplesComputing and Computers Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for Elsevier Scienceoai:cds.cern.ch:16417182013
spellingShingle Computing and Computers
Suh, Jung W
Kim, Youngmin
Accelerating MATLAB with GPU computing: a primer with examples
title Accelerating MATLAB with GPU computing: a primer with examples
title_full Accelerating MATLAB with GPU computing: a primer with examples
title_fullStr Accelerating MATLAB with GPU computing: a primer with examples
title_full_unstemmed Accelerating MATLAB with GPU computing: a primer with examples
title_short Accelerating MATLAB with GPU computing: a primer with examples
title_sort accelerating matlab with gpu computing: a primer with examples
topic Computing and Computers
url http://cds.cern.ch/record/1641718
work_keys_str_mv AT suhjungw acceleratingmatlabwithgpucomputingaprimerwithexamples
AT kimyoungmin acceleratingmatlabwithgpucomputingaprimerwithexamples