001     187427
005     20210129215020.0
024 7 _ |a 2128/8332
|2 Handle
037 _ _ |a FZJ-2015-01092
041 _ _ |a English
088 1 _ |a PRACE WP 129
088 _ _ |a PRACE WP 129
|2 Other
100 1 _ |a Schnurpfeil, Alexander
|0 P:(DE-Juel1)132257
|b 0
|e Corresponding Author
245 _ _ |a Performance Analysis and Enabling of the RayBen Code for the Intel® MIC Architecture
260 _ _ |c 2014
|b PRACE Consortium Partners
300 _ _ |a 9 p.
336 7 _ |a Report
|b report
|m report
|0 PUB:(DE-HGF)29
|s 1422601152_8068
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Report
|2 DataCite
336 7 _ |a TECHREPORT
|2 BibTeX
336 7 _ |a REPORT
|2 ORCID
336 7 _ |a Report
|0 10
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336 7 _ |a report
|2 DRIVER
520 _ _ |a The subject of this project is the analysis and enabling of the RayBen code, which implements a finite difference scheme for the simulation of turbulent Rayleigh-Bénard convection in a closed cylindrical cell, for the Intel® Xeon Phi coprocessor architecture. After a brief introduction to the physical background of the code, the integration of Rayben into the benchmarking environment JuBE is discussed. The structure of the code is analysed through its call graph. The most performance-critical routines were identified. A detailed analysis of the OpenMP parallelization revealed several race conditions which were eliminated. The code was ported to the JUROPA cluster at the Jülich Supercomputing as well as to the EURORA cluster at CINECA. The performance of the code is discussed using the results of pure MPI and hybrid MPI/OpenMP benchmarks. It is shown that RayBen is a memory-intensive application that highly benefits from the MPI parallelization. The offloading mechanism for the Intel® MIC architecture lowers considerably the performance while the use of binaries that run exclusively on the coprocessor show a satisfactory performance and a scalability which is comparable to the CPU.
536 _ _ |a 41G - Supercomputer Facility (POF2-41G21)
|0 G:(DE-HGF)POF2-41G21
|c POF2-41G21
|f POF II
|x 0
536 _ _ |a PRACE-1IP - PRACE - First Implementation Phase Project (261557)
|0 G:(EU-Grant)261557
|c 261557
|f FP7-INFRASTRUCTURES-2010-2
|x 1
700 1 _ |a Janetzko, Florian
|0 P:(DE-Juel1)132149
|b 1
|u fzj
700 1 _ |a Janetzko, Stefanie
|0 P:(DE-Juel1)145463
|b 2
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700 1 _ |a Thust, Kay
|0 P:(DE-Juel1)161186
|b 3
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700 1 _ |a Emran, M. S.
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Schumacher, J.
|0 P:(DE-HGF)0
|b 5
773 _ _ |y 2014
856 4 _ |u http://www.prace-ri.eu/IMG/pdf/wp129.pdf
856 4 _ |u https://juser.fz-juelich.de/record/187427/files/FZJ-2015-01092.pdf
|y OpenAccess
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910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
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|6 P:(DE-Juel1)132257
910 1 _ |a Forschungszentrum Jülich GmbH
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910 1 _ |a Forschungszentrum Jülich GmbH
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910 1 _ |a Forschungszentrum Jülich GmbH
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913 2 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Computational Science and Mathematical Methods
|x 0
913 1 _ |a DE-HGF
|b Schlüsseltechnologien
|l Supercomputing
|1 G:(DE-HGF)POF2-410
|0 G:(DE-HGF)POF2-41G21
|2 G:(DE-HGF)POF2-400
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|4 G:(DE-HGF)POF
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914 1 _ |y 2014
915 _ _ |a OpenAccess
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920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a report
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a FullTexts
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts


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