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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post179@linklings.com
SUMMARY:A Low-Communicaton Method to Solve Poisson's Equation on Locally-S
 tructured Grids
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nA Low-Comm
 unicaton Method to Solve Poisson's Equation on Locally-Structured Grids\n\
 nVan Straalen, McCorquodale, Colella, Kavouklis\n\nThis poster describes a
  new algorithm, Method of Local Corrections (MLC), and a high-performance 
 implementation for solving Poisson's equation with infinite-domain boundar
 y conditions, on locally-refined nested rectangular grids.  The data motio
 n is comparable to that of only a single V-cycle of multigrid, and hence i
 s an order of magnitude smaller than traditional multigrid iteration. The 
 computational kernels are 3D FFTs on small domains. Strong scaling tests o
 n 64 to 4096 cores on NERSC Cori I (Haswell) show over 60% efficiency, and
  weak scaling by replication tests over 64 to 32768 cores show 92% efficie
 ncy on the same platform. We find comparable solve times between HPGMG on 
 a uniform grid with one billion grid points, and MLC on the same number of
  grid points adaptively distributed.  MLC is designed for AMR, able to sol
 ve problems with much higher resolution at the finest level than an algori
 thm on a uniform grid.
URL:https://sc18.supercomputing.org/presentation/?id=post179&sess=sess324
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