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DTSTAMP:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post104@linklings.com
SUMMARY:A Parallel-Efficient GPU Package for Multiphase Flow in Realistic 
 Nano-Pore Networks
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nA Parallel
 -Efficient GPU Package for Multiphase Flow in Realistic Nano-Pore Networks
 \n\nXia, Blumers, Li, Luo, Goral...\n\nSimulations of fluid flow in oil/ga
 s shale rocks are challenging in part due to the heterogeneous pore sizes 
 ranging from a few nanometers to a few micrometers. Additionally, the comp
 lex fluid-solid interaction occurring physically and chemically must be ca
 ptured with high resolution. To address these challenges while minimizing 
 computational cost, we present a GPU code that has implemented a many-body
  dissipative particle dynamics (mDPD) model for multiphase flow in shale. 
 Realistic nano- to micro-pore channels in shale are constructed from 3D hi
 gh-resolution stack images. In our benchmark tests, the code delivers near
 ly perfect weak and strong scalings on up to 512 K20X GPUs on Oak Ridge Na
 tional Laboratory (ORNL) Titan supercomputer. Moreover, single-GPU bench-m
 arks on the DGX-1 (V100/no NVLink), ORNL’s SummitDev (P100/NVLink 1.0) and
  Summit (V100/NVLink 2.0) suggest that the latest Host-to-Device NVLink ca
 n significantly boost overall performance, in addition to the Device-to-De
 vice NVLink.
URL:https://sc18.supercomputing.org/presentation/?id=post104&sess=sess324
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