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DTSTAMP:20210402T160550Z
LOCATION:Track 1
DTSTART;TZID=America/New_York:20201118T150000
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UID:submissions.supercomputing.org_SC20_sess302@linklings.com
SUMMARY:Gordon Bell Prize Finalist Session 1
DESCRIPTION:ACM Gordon Bell Finalist, Awards Presentation\n\nToward Realiz
 ation of Numerical Towing-Tank Tests by Wall-Resolved Large Eddy Simulatio
 n Based on 32 Billion Grid Finite-Element Computation\n\nKato, Yamade, Nag
 ano, Kumahata, Minami...\n\nTo realize numerical towing-tank tests by subs
 tantially shortening the time to the solution, a general-purpose finite-el
 ement flow solver, named FrontFlow/Blue (FFB), has been fully optimized so
  as to achieve the maximum possible sustained memory throughputs with thre
 e of its four hot kernels. As a ...\n\n---------------------\nPushing the 
 Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms w
 ith Machine Learning\n\nJia, Wang, Chen, Lu, Lin...\n\nFor 35 years, ab in
 itio molecular dynamics (AIMD) has been the method of choice for modeling 
 complex atomistic phenomena from first principles. Most AIMD applications,
  however, are limited by computational cost to systems with thousands of a
 toms at most. We report that a machine learning-based simul...\n\n--------
 -------------\nAccelerating Large-Scale Excited-State GW Calculations on L
 eadership HPC Systems\n\nDel Ben, Yang, Li, da Jornada, Louie...\n\nLarge-
 scale GW calculations are the state-of-the-art approach to accurately desc
 ribe many-body excited-state phenomena in complex materials. This is criti
 cal for novel device design but due to their extremely high computational 
 cost, these calculations often run at a limited scale. In this paper, we..
 .\n\n\nRegistration Category: Tech Program Reg Pass
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