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High-Performance Computing Basics Read chapter Read first chapter

2019 | OriginalPaper | Chapter

4. Hybrid Parallelization Techniques

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 techniques of hybrid parallel execution to establish 10,000 more parallel executions and reduce communication time. Several terms are defined in the discussion of hybrid parallel execution. In addition, actual examples of hardware and programming for parallel execution are shown. Finally, an experimental methodology to develop hybrid MPI execution is shown.

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previous chapter Basics of OpenMP Programming
next chapter Application of Techniques for High-Performance Computing
Footnotes
1
Performance goes down dramatically if a programmer does not carefully think about optimization of memory access due to frequently far memory accesses on the ccNUMA organization. Hence, even if users can use such a machine with a large amount of memory, the users may not obtain the desired performance of parallel execution.
 
Literature
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P.S. Pacheco, Parallel Programming with MPI (Morgan Kaufmann, 1996)
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Metadata
Title
Hybrid Parallelization Techniques
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_4

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