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High-Performance Computing Basics Read chapter Read first chapter

2019 | OriginalPaper | Chapter

3. Basics of OpenMP Programming

Author : Takahiro Katagiri

Published in: The Art of High Performance Computing for Computational Science, Vol. 1

Publisher: Springer Singapore

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Abstract

This chapter explains the basics of OpenMP programming, which is widely used in parallel programming language for thread parallelization with inside node parallelism. Specifications of major constructs and clauses for OpenMP are explained with several examples of programming. Scheduling, which is a job allocation method for OpenMP, is also explained. Code optimization techniques for OpenMP, named First Touch, is also shown. Finally, the possibility of extension to Graphics Processing Unit (GPU) from programming with OpenMP is explained with OpenMP version 4.0 and OpenACC.

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previous chapter Basics of MPI Programming
next chapter Hybrid Parallelization Techniques
Footnotes
1
An exception is the loop that occurs just after the parallel do construct. The loop induction variable in the loop becomes a private variable automatically. Some compilers provide automatic variable privatization of loop induction variables, but this is against the specification of OpenMP. Hence, the readers need to realize that the variable privatization is a compiler specific process.
 
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Metadata
Title
Basics of OpenMP Programming
Author
Takahiro Katagiri
Copyright Year
2019
Publisher
Springer Singapore
Book
The Art of High Performance Computing for Computational Science, Vol. 1

Print ISBN: 978-981-13-6193-7

Electronic ISBN: 978-981-13-6194-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-6194-4_3

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