An Introduction to Parallel Programming

Nonfiction, Computers, Advanced Computing, Parallel Processing, Programming, Programming Languages, General Computing
Cover of the book An Introduction to Parallel Programming by Peter Pacheco, Elsevier Science
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Author: Peter Pacheco ISBN: 9780080921440
Publisher: Elsevier Science Publication: February 17, 2011
Imprint: Morgan Kaufmann Language: English
Author: Peter Pacheco
ISBN: 9780080921440
Publisher: Elsevier Science
Publication: February 17, 2011
Imprint: Morgan Kaufmann
Language: English

Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. User-friendly exercises teach students how to compile, run and modify example programs.

Key features:

Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples

Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs

Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. User-friendly exercises teach students how to compile, run and modify example programs.

Key features:

Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples

Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs

Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models

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