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DTSTAMP:20210916T132452Z
LOCATION:Ernesto Bertarelli
DTSTART;TZID=Europe/Stockholm:20210708T110000
DTEND;TZID=Europe/Stockholm:20210708T113000
UID:submissions.pasc-conference.org_PASC21_sess160_msa161@linklings.com
SUMMARY:A Time-Parallel Monte Carlo Approach for Unsteady Systems
DESCRIPTION:Minisymposium\n\nA Time-Parallel Monte Carlo Approach for Unst
 eady Systems\n\nRossi, Tosi, Núñez, Keith, Wohlmuth...\n\nSeveral challeng
 es arise when considering the design and simulation of large-scale civil s
 tructures under the action of wind. First, the dimensions and complexity o
 f these structures require the use of large meshes that involve the resolu
 tion of enormous systems of equations. Second, the randomness associated t
 o the wind conditions adds a considerable complexity in the analysis of th
 e flow, which requires the use of uncertainty quantification methods. Thir
 d, the unsteady and chaotic behaviour of the wind requires the analysis of
  long periods of time of the flow conditions to ensure convergence of the 
 statistics. State of the art parallel computing techniques can be exploite
 d to tackle the first two challenges. Large systems can be solved by split
 ting the spatial domain in partitions that are run in parallel in independ
 ent processors. Similarly, the uncertainty of the wind can be tackled by n
 on-intrusive methods such as Monte Carlo algorithms, which allow to genera
 te independent realizations of the wind that can be run in parallel. Nonet
 heless, the parallelization of long-time analyses represents an open resea
 rch topic, the key issue being that the time dimension cannot be paralleli
 zed. Current work presents some results about the use of ensemble average 
 approaches in minimizing the time to solution of the simulation.\n\nDomain
 : CS and Math, Climate and Weather, Engineering
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