001     905660
005     20250314084120.0
024 7 _ |a 2128/30450
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037 _ _ |a FZJ-2022-00887
100 1 _ |a Garcia-Gasulla, Marta
|0 P:(DE-HGF)0
|b 0
111 2 _ |a Platform for Advanced Scientific Computing (PASC) Conference
|g PASC21
|c Online
|d 2021-07-05 - 2021-07-09
|w Switzerland
245 _ _ |a Performance Optimisation and Productivity for EU HPC Centres of Excellence (and European Parallel Application Developers Preparing for Exascale): Best Practice for Efficient and Scalable Application Performance
260 _ _ |c 2021
336 7 _ |a Conference Paper
|0 33
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336 7 _ |a Other
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a While parallel applications in all scientific and engineering domains have always been prone to execution inefficiencies that limit their performance and scalability, exascale computer systems comprising millions of heterogeneous processors/cores present a very considerable imminent challenge to be addressed for academia and industry alike. More than a dozen HPC Centres of Excellence are currently funded by the EU Horizon2020 programme to prepare applications for forthcoming exascale computer systems. The transversal Performance Optimisation and Productivity Centre of Excellence (POP CoE) [https://www.pop-coe.eu] supports the others, along with the wider European community of application developers, with impartial application performance assessments of parallel execution efficiency and scaling based on a solid methodology analysing measurements with open-source performance tools. This two-part minisymposium introduces the POP services and methodology, summarising results provided to date for over 200 customers with particular focus on those from the HPC CoEs. Engagements with the HPC CoEs will be reviewed in the introductory presentation, HPC CoEs will present their experience preparing their flagship codes for exascale, and a round-table discussion session with all presenters will conclude the minisymposium.
536 _ _ |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5112
|c POF4-511
|f POF IV
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536 _ _ |a POP2 - Performance Optimisation and Productivity 2 (824080)
|0 G:(EU-Grant)824080
|c 824080
|f H2020-INFRAEDI-2018-1
|x 1
536 _ _ |0 G:(DE-Juel-1)ATMLPP
|a ATMLPP - ATML Parallel Performance (ATMLPP)
|c ATMLPP
|x 2
700 1 _ |a Wylie, Brian J. N.
|0 P:(DE-Juel1)132302
|b 1
|e Corresponding author
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856 4 _ |u https://juser.fz-juelich.de/record/905660/files/POP_PASC21.pdf
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910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)132302
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5112
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914 1 _ |y 2021
915 _ _ |a OpenAccess
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980 _ _ |a I:(DE-Juel1)JSC-20090406


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