Scientific computing with multicore and accelerators / edited by Jakub Kurzak, David A. Bader, Jack Dongarra.

Contributor(s): Kurzak, Jakub [editor.] | Bader, David A, 1969- [editor.] | Dongarra, J. J [editor.]Material type: TextTextSeries: Chapman & Hall/CRC computational science series ; 10.Publisher: Boca Raton : CRC Press, [2011]Copyright date: 2011Description: 1 online resource (495 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781439825372Subject(s): Science -- Data processing | Engineering -- Data processing | High performance computing | MultiprocessorsGenre/Form: Electronic books.Additional physical formats: Print version:: Scientific computing with multicore and accelerators.DDC classification: 502.85 LOC classification: Q183.9 | .S325 2011Online resources: Click to View
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.
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.
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Includes bibliographical references and index.

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.

"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.

Description based on print version record.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

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