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Introduction to Parallel Computing

W. P. Petersen and P. Arbenz

Price: £102.00 (hardback)
ISBN-13: 978-0-19-851576-0
Publication date: 8 January 2004
288 pages, 105 line illus., 234x156 mm
Series: Oxford Texts in Applied and Engineering Mathematics number 9
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Description
  • 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
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.



Readership: Advanced undergraduate students, postgraduates, and researchers in mathematics, engineering, physics, and computer science, as well as practitioners and programmers.

Contents
1. Basic issues
2. Applications
3. SIMD, Single Instruction Multiple Data
4. Shared Memory Parallelism
5. MIMD, Multiple Instruction Multiple Data
A. SSE Intrinsics for Floating Point
B. AltiVec Intrinsics for Floating Point
C. OpenMP commands
D. Summary of MPI commands
E. Fortran and C communication
F. Glossary of terms
G. Notation and symbols

Authors, editors, and contributors


W. P. Petersen, Seminar for Applied Mathematics, Department of Mathematics, ETHZ and
P. Arbenz, Institute for Scientific Computing, Department Informatik, ETHZ


Links to web resources and related information
Access to code examples hosted by the authors


More in the same subject area:
Mathematics
Applied mathematics
Computing and information technology
Parallel processing

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