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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:20211119T111000
DTEND;TZID=America/Chicago:20211119T113000
UID:submissions.supercomputing.org_SC21_sess334_ws_lasalss105@linklings.co
 m
SUMMARY:Batched Sparse Iterative Solvers for Computational Chemistry Simul
 ations on GPUs
DESCRIPTION:Workshop\n\nBatched Sparse Iterative Solvers for Computational
  Chemistry Simulations on GPUs\n\nAggarwal, Kashi, Nayak, Balos, Woodward.
 ..\n\nThis paper presents batched iterative solvers for GPU architectures.
  We elaborate on the design of the batched functionality aiming for optima
 l performance while still giving the user some flexibility in terms of cho
 osing a sparse matrix format, a preconditioner optimized for the distinct 
 items of the batch, and an application-specific stopping criterion that is
  evaluated for each problem in the batch individually. Performance results
  for benchmark problems coming from PeleLM simulations reveal the potentia
 l of the batched iterative solvers for computational chemistry simulations
 , and their advantage compared to the current vendor-provided batched solu
 tions.\n\nTag: Online Only, Algorithms, Extreme Scale Computing\n\nRegistr
 ation Category: Workshop Reg Pass
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