Scientific computing with multicore and accelerators

"The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are...

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Bibliographic Details
Other Authors: Kurzak, Jakub, editor (editor), Bader, David A., 1969- editor, Dongarra, J. J., editor
Format: eBook
Language:Inglés
Published: Boca Raton : CRC Press [2011]
Series:Chapman & Hall/CRC computational science series ; 10.
Subjects:
Online Access:https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=142741
See on Universidad Loyola - Universidad Loyola Granada:https://colectivo.uloyola.es/Record/ELB142741
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Description
Summary:"The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are used for a variety of computations, including signal processing and quantum chemistry. This is the first reference on the use of Cell B.E. and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. With contributions from leading experts, the book covers a broad range of topics on the increased role of these accelerators in scientific computing"--
Physical Description:1 online resource (495 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781439825372