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Record Nr. |
UNINA9910788957903321 |
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Titolo |
Scientific computing with multicore and accelerators / / edited by Jakub Kurzak, David A. Bader, Jack Dongarra |
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Pubbl/distr/stampa |
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Boca Raton : , : CRC Press, , 2011 |
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ISBN |
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0-429-10424-3 |
1-138-11332-8 |
1-4398-2537-8 |
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Descrizione fisica |
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1 online resource (495 p.) |
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Collana |
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Chapman & Hall/CRC computational science ; ; 10 |
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Classificazione |
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MAT000000MAT001000MAT021000 |
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Altri autori (Persone) |
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KurzakJakub |
BaderDavid A |
DongarraJ. J |
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Disciplina |
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Soggetti |
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Science - Data processing |
Engineering - Data processing |
High performance computing |
Multiprocessors |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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-- |
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