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DTSTAMP:20210916T132452Z
LOCATION:Louis Favre
DTSTART;TZID=Europe/Stockholm:20210708T120000
DTEND;TZID=Europe/Stockholm:20210708T123000
UID:submissions.pasc-conference.org_PASC21_sess156_msa117@linklings.com
SUMMARY:An Improved Domain Decomposition Method for the Parallel Computing
  of the Four Dimensional Lattice Spring Model (4D-LSM)
DESCRIPTION:Minisymposium\n\nAn Improved Domain Decomposition Method for t
 he Parallel Computing of the Four Dimensional Lattice Spring Model (4D-LSM
 )\n\nZhao, Fu\n\nIn this talk, an improved domain decomposition method is 
 developed to address workload unbalance when implementing the parallel com
 puting of the four dimensional lattice spring model (4D-LSM) to solve prob
 lems in geotechnical engineering with large scale. Cubic domain decomposit
 ion scheme is adopted and optimized by simulated annealing algorithm (SAA)
  to minimize the workload unbalance among subdomains. The improved domain 
 decomposition method is implemented into the parallel computing of 4D-LSM.
  Numerical results indicate that the proposed domain decomposition method 
 could further improve the workload balance among processors, which is help
 ful to break through the limit of computational scale when solving large s
 cale geotechnical problems, and decrease the runtime of parallel 4D-LSM by
  at most 40% compared to original cubic decomposition method, showing the 
 practicability of the proposed method in parallel computing. Two types of 
 target functions of SAA are tested and their influences on the performance
  of the parallel 4D-LSM are investigated.\n\nDomain: Solid Earth Dynamics,
  Engineering
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