000905660 001__ 905660
000905660 005__ 20250314084120.0
000905660 0247_ $$2Handle$$a2128/30450
000905660 037__ $$aFZJ-2022-00887
000905660 1001_ $$0P:(DE-HGF)0$$aGarcia-Gasulla, Marta$$b0
000905660 1112_ $$aPlatform for Advanced Scientific Computing (PASC) Conference$$cOnline$$d2021-07-05 - 2021-07-09$$gPASC21$$wSwitzerland
000905660 245__ $$aPerformance 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
000905660 260__ $$c2021
000905660 3367_ $$033$$2EndNote$$aConference Paper
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000905660 520__ $$aWhile parallel applications in all scientific and engineering domains have always been prone to execution inefficiencies that limit their performance and scalability, exascale computer systems comprising millions of heterogeneous processors/cores present a very considerable imminent challenge to be addressed for academia and industry alike.  More than a dozen HPC Centres of Excellence are currently funded by the EU Horizon2020 programme to prepare applications for forthcoming exascale computer systems.  The transversal Performance Optimisation and Productivity Centre of Excellence (POP CoE) [https://www.pop-coe.eu] supports the others, along with the wider European community of application developers, with impartial application performance assessments of parallel execution efficiency and scaling based on a solid methodology analysing measurements with open-source performance tools. This two-part minisymposium introduces the POP services and methodology, summarising results provided to date for over 200 customers with particular focus on those from the HPC CoEs.  Engagements with the HPC CoEs will be reviewed in the introductory presentation, HPC CoEs will present their experience preparing their flagship codes for exascale, and a round-table discussion session with all presenters will conclude the minisymposium.
000905660 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000905660 536__ $$0G:(EU-Grant)824080$$aPOP2 - Performance Optimisation and Productivity 2 (824080)$$c824080$$fH2020-INFRAEDI-2018-1$$x1
000905660 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x2
000905660 7001_ $$0P:(DE-Juel1)132302$$aWylie, Brian J. N.$$b1$$eCorresponding author$$ufzj
000905660 8564_ $$uhttps://juser.fz-juelich.de/record/905660/files/POP_PASC21.pdf$$yOpenAccess
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000905660 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132302$$aForschungszentrum Jülich$$b1$$kFZJ
000905660 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000905660 9141_ $$y2021
000905660 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000905660 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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