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, the subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations. Series: Oxford Texts in Applied & Engineering Mathematics. Num Pages: 278 pages, numerous figures & tables. BIC Classification: UYAM; UYFP. Category: (U) Tertiary Education (US: College). Dimension: 241 x 161 x 20. Weight in Grams: 561. . 2004. Hardback. . . . .

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Bibliographic Details

Title: Introduction to Parallel Computing
Publisher: Oxford University Press
Publication Date: 2004
Language: English
ISBN 10: 0198515766
ISBN 13: 9780198515760
Binding: Hardcover
Condition: New

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.

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