Scientific computing with multicore and accelerators / edited by Jakub Kurzak, David A. Bader, Jack Dongarra.
2011
Q183.9 .S325 2011
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Details
Title
Scientific computing with multicore and accelerators / edited by Jakub Kurzak, David A. Bader, Jack Dongarra.
ISBN
9781439825365
9781439825372 (electronic book)
9781439825372 (electronic book)
Published
Boca Raton : CRC Press, [2011]
Copyright
©2011
Language
English
Description
1 online resource (495 pages) : illustrations.
Call Number
Q183.9 .S325 2011
Dewey Decimal Classification
502.85
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"-- Provided by publisher.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Chapman & Hall/CRC computational science series ; 10.
Available in Other Form
Scientific computing with multicore and accelerators.
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Table of Contents
1. Dense linear algebra
2. Sparse linear algebra
3. Multigrid methods
4. Fast Fourier transforms
5. Combinatorial algorithms
6. Stencil algorithms
7. Bioinformatics
8. Molecular modeling
9. Complementary topics.
2. Sparse linear algebra
3. Multigrid methods
4. Fast Fourier transforms
5. Combinatorial algorithms
6. Stencil algorithms
7. Bioinformatics
8. Molecular modeling
9. Complementary topics.