Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics). Cet article n’est pas disponible.
Langue : anglais
Edité par Oxford University Press, 2004
- Éd. originale
- Livre relié
- Occasion
Vendeur : Prometei Books, New Rochelle, NY, Etats-UnisPrometei Books
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A propos de cet article
From publisher’s library. Marking on the spine. Bookplate on inside cover and library stamp, otherwise book is new, never read, pages clean and crisp, spine unbroken. 0520E.
N° de réf. du vendeur A0520-174
- Titre
- Introduction to Parallel Computing (Oxford Texts in Applied and Engineering Mathematics)
- Auteur
- Petersen, W. P.; Arbenz, P.
- Éditeur
- Oxford University Press
- Année de publication
- 2004
- État de l'article
- As New
- Reliure
- Hardcover
- Langue
- anglais
- ISBN à 10 chiffres
- 0198515766
- ISBN à 13 chiffres
- 9780198515760
- Édition
- 1st Edition
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.
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.
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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.
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