Introduction to Parallel Computing

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
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