An Introduction to Parallel Computing
Book Description:
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 practical student guide to scientific computing on parallel computers
Based on teaching notes from ETH Zurich
Explanation by clear and easy to follow examples in C and Fortran
Includes theoretical background to examples
Unique coverage of parallelism on microprocessors
Appendix includes glossary of terms, and notations and symbols
Table of Contents
Chapter 1. Basic issues
Chapter 2. Applications
Chapter 3. SIMD, Single Instruction Multiple Data
Chapter 4. Shared Memory Parallelism
Chapter 5. MIMD, Multiple Instruction Multiple Data
Appendix A. SSE Intrinsics for Floating Point
Appendix B. AltiVec Intrinsics for Floating Point
Appendix C. OpenMP commands
Appendix D. Summary of MPI commands
Appendix E. Fortran and C communication
Appendix F. Glossary of terms
Appendix G. Notation and symbols
Book Details
Paperback: 288 pages
Publisher: Oxford University Press (March 2004)
Language: English
ISBN-10: 0198515774
ISBN-13: 978-0198515777
