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BEGIN:VEVENT
DTSTAMP:20181221T160905Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181114T083000
DTEND;TZID=America/Chicago:20181114T170000
UID:submissions.supercomputing.org_SC18_sess323_post136@linklings.com
SUMMARY:Massively Parallel Stress Chain Characterization for Billion Parti
 cle DEM Simulation of Accretionary Prism Formation
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nMassively 
 Parallel Stress Chain Characterization for Billion Particle DEM Simulation
  of Accretionary Prism Formation\n\nFuruichi, Nishiura, Hori\n\nHerein, a 
 novel algorithm for characterizing stress chains using a large parallel co
 mputer system is presented. Stress chains are important for analyzing the 
 results of large-scale discrete element method (DEM) simulations. However,
  the general algorithm is difficult to parallelize especially when selecti
 ng networks longer than several particles. Therefore, we propose a new par
 allel algorithm to count the number of particles that are tightly connecte
 d, based on iterative operations with nearest-neighbor computations and co
 mmunications. The new algorithm is examined via a real-scale numerical san
 dbox experiment using 2.4 billion particles. We successfully compute the s
 tress chains with a reasonable computational cost comparable to the single
 -step DEM computation time. The visualization of the stress chains from th
 e large-scale DEM simulation result reveals the existence of arcuate stres
 s structures that may control accretionary prism formation, which is an im
 portant scientific discovery.
URL:https://sc18.supercomputing.org/presentation/?id=post136&sess=sess323
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