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LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post104@linklings.com
SUMMARY:A Parallel-Efficient GPU Package for Multiphase Flow in Realistic 
 Nano-Pore Networks
DESCRIPTION:Yidong Xia (Idaho National Laboratory); Ansel Blumers (Brown U
 niversity, Idaho National Laboratory); Zhen Li (Brown University); Lixiang
  Luo (IBM); Jan Goral (University of Utah); Matthew Andrew (Carl Zeiss X-r
 ay Microscopy Inc); Joshua Kane (Idaho National Laboratory); and Yu-Hang T
 ang (Lawrence Berkeley National Laboratory)\n\nSimulations of fluid flow i
 n oil/gas shale rocks are challenging in part due to the heterogeneous por
 e sizes ranging from a few nanometers to a few micrometers. Additionally, 
 the complex fluid-solid interaction occurring physically and chemically mu
 st be captured with high resolution. To address these challenges while min
 imizing computational cost, we present a GPU code that has implemented a m
 any-body dissipative particle dynamics (mDPD) model for multiphase flow in
  shale. Realistic nano- to micro-pore channels in shale are constructed fr
 om 3D high-resolution stack images. In our benchmark tests, the code deliv
 ers nearly perfect weak and strong scalings on up to 512 K20X GPUs on Oak 
 Ridge National Laboratory (ORNL) Titan supercomputer. Moreover, single-GPU
  bench-marks 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 N
 VLink can significantly boost overall performance, in addition to the Devi
 ce-to-Device NVLink.\n\nRegistration Category: Tech Program Reg Pass, Exhi
 bits Reg Pass\n\n
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