Introduction to Parallel Computing
A practical guide with examples in C
Peter Arbenz, Wesley Petersen - Collection Oxford Texts in Applied and Engineering Mathematics
Résumé
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.
- A practical student guide to scientific computing on parallel computers
- Based on teaching notes from ETH Zurich
- Explanation by clear and easy to follow examples in C and Fortran
- Includes theoretical background to examples
- Unique coverage of parallelism on microprocessors
- Appendix includes glossary of terms, and notations and symbols
Readership: Advanced undergraduate students, postgraduates, and researchers in mathematics, engineering, physics, and computer science, as well as practitioners and programmers.
L'auteur - Peter Arbenz
L'auteur - Wesley Petersen
Sommaire
- Basic issues
- Applications
- SIMD, Single Instruction Multiple Data
- Shared Memory Parallelism
- MIMD, Multiple Instruction Multiple Data
- A SSE Intrinsics for Floating Point
- B AltiVec Intrinsics for Floating Point
- C OpenMP commands
- D Summary of MPI commands
- E Fortran and C communication
- F Glossary of terms
- G Notation and symbols
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Oxford University Press |
| Auteur(s) | Peter Arbenz, Wesley Petersen |
| Collection | Oxford Texts in Applied and Engineering Mathematics |
| Parution | 09/02/2004 |
| Nb. de pages | 260 |
| Format | 15,5 x 23,5 |
| Couverture | Broché |
| Poids | 405g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780198515777 |
| ISBN13 | 978-0-19-851577-7 |
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