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Using OpenMP—The Next Step: Affinity, Accelerators, Tasking, and SIMD

A guide to the most recent, advanced features of the widely used OpenMP parallel programming model, with coverage of major features in OpenMP 4.5.This book offers an up-to-date, practical tutorial on advanced features in the widely used OpenMP parallel programming model. Building on the previous volume, Using OpenMP: Portable Shared Memory Parallel Programming (MIT Press), this book goes beyond the fundamentals to focus on what has been changed and added to OpenMP since the 2.5 specifications. It emphasizes four major and advanced areas: thread affinity (keeping threads close to their data), accelerators (special hardware to speed up certain operations), tasking (to parallelize algorithms with a less regular execution flow), and SIMD (hardware assisted operations on vectors).As in the earlier volume, the focus is on practical usage, with major new features primarily introduced by example. Examples are restricted to C and C++, but are straightforward enough to be understood by Fortran programmers. After a brief recap of OpenMP 2.5, the book reviews enhancements introduced since 2.5. It then discusses in detail tasking, a major functionality enhancement; Non-Uniform Memory Access (NUMA) architectures, supported by OpenMP; SIMD, or Single Instruction Multiple Data; heterogeneous systems, a new parallel programming model to offload computation to accelerators; and the expected further development of OpenMP.OCLC-licensed vendor bibliographic record.

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Series Title
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Call Number
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Publisher
: The MIT Press.,
Collation
1 online resource (xxi, 365 pages) :illustrations.
Language
English
ISBN/ISSN
9780262344012
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
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Subject(s)
Parallel programming (Computer science)
Application program interfaces (Computer software)
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Statement of Responsibility
Other Information
Cataloger
agus
Source
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Digital Object Identifier (DOI)
https://direct.mit.edu/books/monograph/4482/Using-OpenMP-The-Next-StepAffinity-Accelerators
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Journal Issue
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