Scientific computing with multicore and accelerators / / edited by Jakub Kurzak, David A. Bader, Jack Dongarra.
"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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Superior document: | Chapman & Hall/CRC computational science ; 10 |
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TeilnehmendeR: | |
Place / Publishing House: | Boca Raton : : CRC Press,, [2011] 2011 |
Year of Publication: | 2011 |
Language: | English |
Series: | Chapman & Hall/CRC computational science series ;
10. |
Online Access: | |
Physical Description: | 1 online resource (495 pages) :; illustrations. |
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020 | |z 9781439825365 | ||
020 | |a 9781439825372 |q (electronic bk.) | ||
035 | |a (MiAaPQ)5001591592 | ||
035 | |a (Au-PeEL)EBL1591592 | ||
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050 | 4 | |a Q183.9 |b .S325 2011 | |
082 | 0 | |a 502.85 | |
245 | 0 | 0 | |a Scientific computing with multicore and accelerators / |c edited by Jakub Kurzak, David A. Bader, Jack Dongarra. |
264 | 1 | |a Boca Raton : |b CRC Press, |c [2011] | |
264 | 4 | |c 2011 | |
300 | |a 1 online resource (495 pages) : |b illustrations. | ||
336 | |a text |2 rdacontent | ||
337 | |a computer |2 rdamedia | ||
338 | |a online resource |2 rdacarrier | ||
490 | 1 | |a Chapman & Hall/CRC computational science ; |v 10 | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a 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. | |
520 | |a "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"-- |c Provided by publisher. | ||
588 | |a Description based on print version record. | ||
590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Science |x Data processing. | |
650 | 0 | |a Engineering |x Data processing. | |
650 | 0 | |a High performance computing. | |
650 | 0 | |a Multiprocessors. | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Kurzak, Jakub, |e editor. | |
700 | 1 | |a Bader, David A., |d 1969- |e editor. | |
700 | 1 | |a Dongarra, J. J., |e editor. | |
776 | 0 | 8 | |i Print version: |t Scientific computing with multicore and accelerators. |d Boca Raton : CRC Press, [2011] |h xxxiii, 480 pages |k Chapman & Hall/CRC computational science ; 10 |z 9781439825365 |w (DLC)2010037123 |
797 | 2 | |a ProQuest (Firm) | |
830 | 0 | |a Chapman & Hall/CRC computational science series ; |v 10. | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1591592 |z Click to View |