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DTSTAMP:20210916T132528Z
LOCATION:Michel Mayor
DTSTART;TZID=Europe/Stockholm:20210707T110000
DTEND;TZID=Europe/Stockholm:20210707T130000
UID:submissions.pasc-conference.org_PASC21_sess142@linklings.com
SUMMARY:Performance Optimisation and Productivity for EU HPC Centres of Ex
 cellence (and European Parallel Application Developers Preparing for Exasc
 ale), Part I
DESCRIPTION:Minisymposium\n\nWhile parallel applications in all scientific
  and engineering domains have always been prone to execution inefficiencie
 s that limit their performance and scalability, exascale computer systems 
 comprising millions of heterogeneous processors/cores present a very consi
 derable imminent challenge to be addressed for academia and industry alike
 .  Ten HPC Centres of Excellence are currently funded by the EU Horizon202
 0 programme to prepare applications for forthcoming exascale computer syst
 ems [https://www.focus-coe.eu/index.php/centres-of-excellence-in-hpc-appli
 cations/].  The transversal Performance Optimisation and Productivity Cent
 re of Excellence (POP CoE) [https://www.pop-coe.eu] supports the others, a
 long with the wider European community of application developers, with imp
 artial application performance assessments of parallel execution efficienc
 y and scaling based on a solid methodology analysing measurements with ope
 n-source performance tools. This minisymposium introduces the POP services
  and methodology, summarising results provided to date for over 200 custom
 ers with particular focus on those from the HPC CoEs.  Engagements with th
 e HPC CoEs will be reviewed in the introductory presentation, covering cli
 mate and weather (ESiWACE), chemistry and materials (BioExcel/MaX), and co
 mputational fluid dynamics in engineering (EXCELLERAT).  The CoEs for Comp
 utational Biomedicine (CompBioMed [https://www.compbiomed.eu/]), Solid Ear
 th (ChEESE [https://cheese-coe.eu/])  and Energy-oriented applications (Eo
 CoE [https://www.eocoe.eu/]) will then report their experience of collabor
 ating with POP in preparing their flagship codes for exascale.\n\nOutcome 
 of Joint EoCoE-POP Performance Evaluation Workshops\n\nHaefele\n\nThe Ener
 gy-oriented Centre of Excellence (EoCoE) [https://www.eocoe.eu/] co-organi
 sed a series of performance evaluation workshops for their application dev
 elopers with associated POP performance assessments at different stages of
  development. Matthieu Haefele, the lead organiser of these workshops ...\
 n\n---------------------\nPerformance Optimisation and Productivity: Best 
 Practice for Efficient and Scalable Application Performance\n\nGarcia-Gasu
 lla, Wylie\n\nWhile the whole HPC community is waiting for the winner of t
 he race to provide exascale systems, application developers are struggling
  to prepare HPC codes to make efficient use of such a vast number of resou
 rces. In this quest for performance, the Performance Optimisation and Prod
 uctivity (POP) Cen...\n\n---------------------\nReadying HemeLB and SCEMa 
 Codes for Exascale with POP and E-CAM Centres of Excellence\n\nCoveney, Pa
 tronis, McCullough, Sinclair, Vassaux...\n\nAs supercomputers approach exa
 scale performance it is necessary to ensure that current simulation codes 
 can continue to efficiently generate results on the latest machines. This 
 presentation will outline how collaborations between the Centre for Comput
 ational Science (UCL) and the POP and E-CAM CoEs...\n\n-------------------
 --\nPOP and ChEESE - The Audit of SeisSol for Computational Earthquake Sim
 ulations with GPU-Aware MPI Communication for Local Time Stepping\n\nGabri
 el, Dorozhinskii, Bader\n\nThe ChEESE CoE is an initiative to integrate HP
 C and data analysis across Solid Earth related disciplines in Europe. One 
 of its main goals is to prepare ten flagship codes for upcoming exascale e
 nvironments. These codes cover important aspects of geoscience, namel
 y: computational seismology, ma...\n\n\nDomain: CS and Math, Emerging Appl
 ications, Chemistry and Materials, Climate and Weather, Physics, Solid Ear
 th Dynamics, Life Sciences, Engineering
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