Introduction to Parallel Computing

by W. P. Petersen, P. Arbenz

Overview

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.

Product Details

ISBN-13:	9780198515760
Publisher:	Oxford University Press
Publication date:	03/25/2004
Series:	Oxford Texts in Applied and Engineering Mathematics , #9
Pages:	278
Product dimensions:	9.30(w) x 6.20(h) x 0.80(d)

About the Author

ETHZ

ETHZ

Table of Contents

1. Basic issues2. Applications3. SIMD, Single Instruction Multiple Data4. Shared Memory Parallelism5. MIMD, Multiple Instruction Multiple DataA. SSE Intrinsics for Floating PointB. AltiVec Intrinsics for Floating PointC. OpenMP commandsD. Summary of MPI commandsE. Fortran and C communicationF. Glossary of termsG. Notation and symbols

Editorial Reviews

"This book is unique in thta it provides a balanced treatment of the concepts of parallelism on all levels...For computer science undergraduates learning about parallelism and for those who develop programs and systems that exploit as much parallelism as possible so as to maximize the desired performance."—Choice

From the Publisher