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BEGIN:VEVENT
DTSTAMP:20210916T132452Z
LOCATION:Louis Favre
DTSTART;TZID=Europe/Stockholm:20210708T110000
DTEND;TZID=Europe/Stockholm:20210708T113000
UID:submissions.pasc-conference.org_PASC21_sess156_msa371@linklings.com
SUMMARY:Cloud Computing-based Parallelization of Spherical Discontinuous D
 eformation Analysis for Geotechnical Engineering Problems
DESCRIPTION:Minisymposium\n\nCloud Computing-based Parallelization of Sphe
 rical Discontinuous Deformation Analysis for Geotechnical Engineering Prob
 lems\n\nJiao, Wu, Zheng\n\nThe computational efficiency of the traditional
  serial spherical discontinuous deformation analysis (SDDA) program has li
 mited its application in large-scale geotechnical engineering problems. As
  a supercomputing mode that integrates large-scale and scalable distribute
 d resource collaboration, cloud computing is used to parallel the SDDA pro
 gram. The most computationally intensive portions of the SDDA program, i.e
 ., contact detection and matrix solution, are parallelized with the MPI-ba
 sed peer-to-peer parallel model. The accuracy of the cloud-based parallel 
 SDDA program (CP-SDDA) is verified first. Further efficiency tests show si
 gnificant speedup can be obtained with an 8-server configuration and the c
 omputing scale can be up to several tens of thousands of particles. The cl
 oud-based parallelized SDDA program increases its potential in application
 s of deformation and failure analysis of large-scale geotechnical engineer
 ing problems.\n\nDomain: Solid Earth Dynamics, Engineering
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