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X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20210916T132450Z
LOCATION:Michel Mayor
DTSTART;TZID=Europe/Stockholm:20210707T110000
DTEND;TZID=Europe/Stockholm:20210707T113000
UID:submissions.pasc-conference.org_PASC21_sess142_msa170@linklings.com
SUMMARY:Performance Optimisation and Productivity: Best Practice for Effic
 ient and Scalable Application Performance
DESCRIPTION:Minisymposium\n\nPerformance Optimisation and Productivity: Be
 st Practice for Efficient and Scalable Application Performance\n\nGarcia-G
 asulla, Wylie\n\nWhile the whole HPC community is waiting for the winner o
 f the race to provide exascale systems, application developers are struggl
 ing to prepare HPC codes to make efficient use of such a vast number of re
 sources. In this quest for performance, the Performance Optimisation and P
 roductivity (POP) Centre of Excellence (CoE) has been supporting them sinc
 e 2015. After analyzing more than 200 codes, from a variety of scientific 
 fields, coming from academia and industry, POP experts have a unique view 
 of the most common pitfalls and sources of inefficiency that prevent codes
  from running efficiently and achieving scalability.  Based on the kn
 owledge gathered, we identify a set of common patterns that affect the per
 formance of highly parallel codes and suggest possible solutions to them. 
 Focusing on codes employed in EU HPC CoEs, we demonstrate how applications
  from different scientific domains can suffer similar performance issues, 
 and the general advice given can be useful for the whole HPC community.\n\
 nDomain: CS and Math, Emerging Applications, Chemistry and Materials, Clim
 ate and Weather, Physics, Solid Earth Dynamics, Life Sciences, Engineering
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