001     152039
005     20210129213636.0
020 _ _ |a 978-1-61499-380-3
024 7 _ |a 10.3233/978-1-61499-381-0-357
|2 doi
024 7 _ |a WOS:000452120400035
|2 WOS
037 _ _ |a FZJ-2014-01859
100 1 _ |a Brömmel, Dirk
|0 P:(DE-Juel1)143606
|b 0
111 2 _ |a International Conference on Parallel Computing
|g ParCo 2013
|c Munich
|d 2013-09-10 - 2013-09-13
|w Germany
245 _ _ |a Experience with the MPI/STARSS programming model on a large production code
260 _ _ |c 2014
|b IOS Press
295 1 0 |a Parallel Computing: Accelerating Computational Science and Engineering (CSE)
300 _ _ |a 357 - 366
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a Contribution to a book
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336 7 _ |a Conference Paper
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336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Output Types/Conference Paper
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336 7 _ |a conferenceObject
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336 7 _ |a INPROCEEDINGS
|2 BibTeX
490 0 _ |a Advances in Parallel Computing
|v 25
520 _ _ |a This paper describes the experiences of porting a scientific application to the hybrid MPI/STARSS parallelisation. It will show that overlapping computation, I/O and communication is possible and results in a performance improvement when compared to a pure MPI approach. Essentially, this is showing the added benefit of combining shared and distributed memory programming models. We will also highlight one big advantage of the STARSS runtime which lies in dynamically adjusting the number of threads, helping to alleviate load imbalances without algorithmic restructuring.
536 _ _ |a 411 - Computational Science and Mathematical Methods (POF2-411)
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700 1 _ |a Gibbon, Paul
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700 1 _ |a Garcia, Marta
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700 1 _ |a Lopez, Victor
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700 1 _ |a Marjanovic, Vladimir
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700 1 _ |a Labarta, Jesus
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773 _ _ |a 10.3233/978-1-61499-381-0-357
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914 1 _ |y 2014
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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