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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_sess322_post260@linklings.com
SUMMARY:Large Scale MPI-Parallelization of LBM and DEM Systems: Accelerati
 ng Research by Using HPC
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nLarge Scal
 e MPI-Parallelization of LBM and DEM Systems: Accelerating Research by Usi
 ng HPC\n\nJelinek, Mason, Peters, Johnson, Brumfield...\n\nCasting, solidi
 fication, and the behavior of dry, saturated, and partially saturated gran
 ular media are examples of interesting and important problems in multiple 
 areas of civil, mechanical, and chemical engineering. For interacting part
 icle-fluid systems, the Discrete Element Method (DEM) and Lattice-Boltzman
 n Method (LBM) provide valuable high-resolution numerical models. Their ma
 in issue is high computational demand, which can be addressed by use of HP
 C resources. This work demonstrates the use of MPI-parallelized LBM and DE
 M models to accelerate research in solidification and macroscopic behavior
  of dry and saturated granular media. Large scale parallel simulations of 
 dendritic growth, the calibration-chamber cone penetration test, and a par
 ametric study of shear thickening in granular suspension were performed. U
 se of HPC dramatically reduced the computational time for these studies an
 d provided high-resolution representation of physical experiments.
URL:https://sc18.supercomputing.org/presentation/?id=post260&sess=sess322
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