Introduction to Parallel Computing. Cet article n’est pas disponible.
Langue : anglais
Edité par Oxford University Press, Incorporated, 2004
- Éd. originale
- Livre broché
- Occasion
Vendeur : Better World Books Ltd, Dunfermline, Royaume-UniBetter World Books Ltd
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EUR 44,02
A propos de cet article
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
N° de réf. du vendeur 11155715-6
- Titre
- Introduction to Parallel Computing
- Auteur
- Petersen, W. P., Arbenz, P.
- Éditeur
- Oxford University Press, Incorporated
- Année de publication
- 2004
- État de l'article
- Good
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 0198515774
- ISBN à 13 chiffres
- 9780198515777
- Édition
- 1st Edition.
- Poids de l'article
- 0,983 livre
- Dimensions
- N/A
In the last few years, courses on parallel computation have been developed and offered in many institutions in the U.K., Europe and U.S. as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at Eth Zurich is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines and finally to distributed memory machines. 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.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
Présentation de l'éditeur
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 recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines. 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 propos de ce titre » peut appartenir à une autre édition de cet ouvrage.