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DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess325_spost112@linklings.com
SUMMARY:Dendro-GR: Massively Parallel Simulations of Binary Black Hole Int
 ermediate-Mass-Ratio Inspirals
DESCRIPTION:ACM Student Research Competition, Poster\nTech Program Reg Pas
 s, Exhibits Reg Pass\n\nDendro-GR: Massively Parallel Simulations of Binar
 y Black Hole Intermediate-Mass-Ratio Inspirals\n\nFernando\n\nWe present a
  portable and highly-scalable algorithm and framework that targets problem
 s in the astrophysics and numerical relativity communities. This framework
  combines together a parallel octree-refined adaptive mesh with wavelet ad
 aptive multiresolution and a physics module to solve the Einstein equation
 s of general relativity in the BSSN~formulation. The goal of this work is 
 to perform advanced, massively parallel numerical simulations of Intermedi
 ate Mass Ratio Inspirals (IMRIs) of binary black holes with mass ratios on
  the order of 100:1.  These studies will be used to generate waveforms for
  use in LIGO data analysis and to calibrate semi-analytical approximate me
 thods. This advanced framework is designed to easily accommodate many exis
 ting algorithms in astrophysics for plasma dynamics and radiation hydrodyn
 amics. We have designed novel algorithms to enable efficient simulations f
 or such experiments and demonstrate excellent weak scalability up to 131K 
 cores on ORNL's Titan for binary mergers for mass ratios up to 100.
URL:https://sc18.supercomputing.org/presentation/?id=spost112&sess=sess325
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