Description |
1 online resource (xvi, 259 pages) : illustrations |
Series |
Oxford texts in applied and engineering mathematics ; 9 |
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Oxford texts in applied and engineering mathematics ; 9.
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Contents |
Basic issues -- Applications -- SIMD, single instruction multiple data -- Shared memory parallelism -- MIMD, multiple instruction, multiple data |
Summary |
This text is a practical student guide to scientific computing on parallel computers, based on the authors' lectures at ETH Zurich. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers. - ;In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognit |
Notes |
Subtitle from cover |
Bibliography |
Includes bibliographical references (pages 246-253) and index |
Notes |
English |
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Print version record |
Subject |
Parallel processing (Electronic computers)
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Parallel computers.
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COMPUTERS -- Systems Architecture -- Distributed Systems & Computing.
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Parallel computers
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Parallel processing (Electronic computers)
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Parallelle verwerking.
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Form |
Electronic book
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Author |
Arbenz, Peter, 1953-
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LC no. |
2004273718 |
ISBN |
9780191513619 |
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019151361X |
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9780198515760 |
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0198515766 |
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142378880X |
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9781423788805 |
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9786610752287 |
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6610752281 |
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9780198515777 |
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0198515774 |
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1280752289 |
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9781280752285 |
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1429420618 |
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9781429420617 |
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0191916595 |
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9780191916595 |
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