Introduction to Parallel Computing

Wesley Petersen

ISBN 10: 0198515766 / ISBN 13: 9780198515760

Published by OUP Oxford, 2004

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780198515760

Bibliographic Details

• Title: Introduction to Parallel Computing
• Publisher: OUP Oxford
• Publication Date: 2004
• Language: English
• ISBN 10: 0198515766
• ISBN 13: 9780198515760
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 20D millimeters 240 millimeters width by 161 millimeters height by 20 millimeters depth
• Weight: 587 grams

About this title

Synopsis

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.

About the Author

Peter Arbenz is at Institute for Scientific Computing, Department Informatik, ETHZ, Switzerland. Wesley Petersen is at Seminar for Applied Mathematics, Department of Mathematics, ETHZ, Switzerland.