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Parallel programming : techniques and applications using networked workstations and parallel computers

By: Contributor(s): Material type: TextTextPublication details: Delhi : Pearson Education., 1999.Description: xv, 431 pISBN:
  • 0136717101
  • 9780136717102
  • 9788178086347
  • 8178086344
Subject(s): DDC classification:
  • 005.1 WIL
Contents:
pt. 1. Basic techniques. Parallel computers -- Message-passing computing -- Embarrassingly parallel computations -- Partitioning and divide-and-conquer strategies -- Pipelined computations -- Synchronous computations -- Load balancing and termination detection -- Programming with shared memory -- pt. 2. Algorithms and applications. Sorting algorithms -- Numerical algorithms -- Image processing -- Searching and optimization -- Appendix A: Basic PVM routines -- Appendix B: Basic MPI routines -- Appendix C: Basic Pthread routines -- Appendix D: Parallel computation models.
Summary: Designed for undergraduate level parallel programming courses, this nontheoretical text covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. It is also supported by the National Science Foundation and is class-tested.
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Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library Reference Reference 005.1 WIL (Browse shelf(Opens below)) Available 008270
Total holds: 0

Included Index.

pt. 1. Basic techniques. Parallel computers --
Message-passing computing --
Embarrassingly parallel computations --
Partitioning and divide-and-conquer strategies --
Pipelined computations --
Synchronous computations --
Load balancing and termination detection --
Programming with shared memory --
pt. 2. Algorithms and applications. Sorting algorithms --
Numerical algorithms --
Image processing --
Searching and optimization --
Appendix A: Basic PVM routines --
Appendix B: Basic MPI routines --
Appendix C: Basic Pthread routines --
Appendix D: Parallel computation models.

Designed for undergraduate level parallel programming courses, this nontheoretical text covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. It is also supported by the National Science Foundation and is class-tested.

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