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DTSTAMP:20260522T150111Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess327_spost112@linklings.com
SUMMARY:Dendro-GR: Massively Parallel Simulations of Binary Black Hole Int
 ermediate-Mass-Ratio Inspirals
DESCRIPTION:Milinda Fernando (University of Utah)\n\nWe present a portable
  and highly-scalable algorithm and framework that targets problems in the 
 astrophysics and numerical relativity communities. This framework combines
  together a parallel octree-refined adaptive mesh with wavelet adaptive mu
 ltiresolution and a physics module to solve the Einstein equations of gene
 ral relativity in the BSSN~formulation. The goal of this work is to perfor
 m advanced, massively parallel numerical simulations of Intermediate Mass 
 Ratio Inspirals (IMRIs) of binary black holes with mass ratios on the orde
 r of 100:1.  These studies will be used to generate waveforms for use in L
 IGO data analysis and to calibrate semi-analytical approximate methods. Th
 is advanced framework is designed to easily accommodate many existing algo
 rithms in astrophysics for plasma dynamics and radiation hydrodynamics. We
  have designed novel algorithms to enable efficient simulations for such e
 xperiments and demonstrate excellent weak scalability up to 131K cores on 
 ORNL's Titan for binary mergers for mass ratios up to 100.\n\nRegistration
  Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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