| 000 | 02477nam a22003858i 4500 | ||
|---|---|---|---|
| 001 | CR9780511617935 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160222.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090915s2006||||enk o ||1 0|eng|d | ||
| 020 | _a9780511617935 (ebook) | ||
| 020 | _z9780521864787 (hardback) | ||
| 020 | _z9780521683371 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA76.58 _b.S545 2006 |
| 082 | 0 | 0 |
_a004.3/5 _222 |
| 100 | 1 |
_aShonkwiler, Ronald W., _d1942- _eauthor. |
|
| 245 | 1 | 3 |
_aAn introduction to parallel and vector scientific computing / _cRonald W. Shonkwiler, Lew Lefton. |
| 246 | 3 | _aAn Introduction to Parallel & Vector Scientific Computation | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2006. |
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| 300 |
_a1 online resource (xv, 288 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aCambridge texts in applied mathematics ; _v41 |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aIn this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods. | ||
| 650 | 0 | _aParallel processing (Electronic computers) | |
| 650 | 0 | _aVector processing (Computer science) | |
| 700 | 1 |
_aLefton, L. _q(Lew), _d1960- _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780521864787 |
| 830 | 0 |
_aCambridge texts in applied mathematics ; _v41. |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511617935 |
| 999 |
_c516819 _d516817 |
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