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 p...

Descripción completa

Detalles Bibliográficos
Autor principal: Suh, Jung W. (-)
Otros Autores: Kim, Youngmin, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Waltham, MA : Morgan Kaufmann, an imprint of Elsevier 2014.
Edición:First edition
Colección:Gale eBooks
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627949106719
Descripción
Sumario: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
Notas:Description based upon print version of record.
Descripción Física:1 online resource (x, 248 pages) : illustrations (some color)
Bibliografía:Includes bibliographical references and index.
ISBN:9780124079168