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X-LIC-LOCATION:America/New_York
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TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20210402T160555Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201112T100000
DTEND;TZID=America/New_York:20201112T101000
UID:submissions.supercomputing.org_SC20_sess214_wksp126@linklings.com
SUMMARY:ScalA – Introduction: 11th Workshop on Latest Advances in Scalable
  Algorithms for Large-Scale Systems
DESCRIPTION:Workshop\n\nScalA – Introduction: 11th Workshop on Latest Adva
 nces in Scalable Algorithms for Large-Scale Systems\n\nAlexandrov, Dongarr
 a, Geist, Engelmann\n\nNovel scalable scientific algorithms are needed to 
 enable key science applications to exploit the computational power of larg
 e-scale systems.  These extreme-scale algorithms need to hide network and 
 memory latency, have very high computation/communication overlap and minim
 al communication and have no synchronization points. With the advent of Bi
 g Data and AI the need for such scalable mathematical methods and algorith
 ms able to handle data and compute-intensive applications at scale becomes
  even more important. Scientific algorithms for multi-petaflop and exaflop
  systems also need to be fault tolerant and fault resilient, since the pro
 bability of faults increases with scale.  Finally, with the advent of hete
 rogeneous compute nodes that employ standard processors as well as GPGPUs,
  scientific algorithms need to match these architectures to extract the mo
 st performance.  Key science applications require novel mathematics and ma
 thematical models and system software that address the scalability and res
 ilience challenges of current- and future-generation extreme-scale HPC sys
 tems.\n\nTag: Algorithms, Extreme Scale Computing, Performance/Productivit
 y Measurement and Evaluation, Scalable Computing, Scientific Computing\n\n
 Registration Category: Workshop Reg Pass
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