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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055405Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211119T094000
DTEND;TZID=America/Chicago:20211119T100000
UID:submissions.supercomputing.org_SC21_sess334_ws_lasalss102@linklings.co
 m
SUMMARY:Optimized Cascadic Multigrid Parareal Method for Explicit Time-Mar
 ching Scheme
DESCRIPTION:Workshop\n\nOptimized Cascadic Multigrid Parareal Method for E
 xplicit Time-Marching Scheme\n\nChen, Nakajima\n\nHigh-performance computi
 ng research is entering the exascale computing era. Large-scale simulation
 s have more than enough parallel resources but reach a saturation point in
  spatial parallelization due to the communication cost and synchronization
  overhead. Parallel-in-time (PinT) methods are a solution to the saturatio
 n problem. To date, many efficient PinT methods have been proposed, but mo
 st experiments focus on small problems with a large number of time steps. 
 Applications that are solved by explicit time-marching schemes, especially
 , are highly scalable in the spatial domain. Therefore very few researcher
 s use PinT methods on explicit time-marching schemes. Furthermore, PinT me
 thods often require many processors to achieve faster computation than seq
 uential code. This work proposes a PinT method for explicit schemes that p
 rovide efficient parallelization with few working processes. The numerical
  experiment of advection equation and compressible viscous flow simulation
  shows that the proposed method could achieve better parallel efficiency t
 han spatial parallelization.\n\nTag: Online Only, Algorithms, Extreme Scal
 e Computing\n\nRegistration Category: Workshop Reg Pass
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