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An introduction to parallel programming / Peter S. Pacheco (Author) / Matthew Malensek (Author)

By: Contributor(s): Material type: TextPublication details: Amsterdam : Boston : Morgan Kaufmann, c2020.Edition: 2nd EditionDescription: 496p. : ill. ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128046050
Subject(s): DDC classification:
  • 005.275 P.P.A 2020 22
LOC classification:
  • QA76.642 .P29 2011
Contents:
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms
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Books Capital Universities Foundation Library (CUFL) School of Computer Sciences (ENU) 005.275 P.P.A 2020 (Browse shelf(Opens below)) Available 1324

Includes bibliographical references and index.

An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP.

As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs.

Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples
Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models
A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank
New to this edition:
New chapters on GPU programming and heterogeneous programming
New examples and exercises related to parallel algorithms

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