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DTSTAMP:20210916T132453Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210708T173000
DTEND;TZID=Europe/Stockholm:20210708T180000
UID:submissions.pasc-conference.org_PASC21_sess196_msa180@linklings.com
SUMMARY:Tsunami Propagation in Lakes - an HPC Task?
DESCRIPTION:Minisymposium\n\nTsunami Propagation in Lakes - an HPC Task?\n
 \nBacigaluppi, Bürgler, Strupler, Kremer, Vetsch\n\nNowadays, high perform
 ance computing (HPC) plays a leading role along with robust, stable and ac
 curate numerical methods, to guarantee the effectiveness and suitability o
 f software for any process involving decision support in engineering pract
 ice and science. In particular, in the context of rivers and lakes, it app
 ears that HPC may become a pivotal tool to support simulations, especially
  when linked to uncertainty quantifications, large scale simulations or co
 mplex hydro-morphodynamic interaction studies. The goal of this contributi
 on is to provide an overview of the advantages that HPC might provide in t
 he investigation of tsunamis in lakes, which differ from the oceanic ones 
 due to a completely different physical scaling. The focus is set on the ef
 fects that link mesh size and accuracy, with the aim to show if and how in
  the considered scenarios there is an effective gain through HPC. The outc
 omes also directly impact all those physical aspects that involve e.g. wav
 e inference and underlying domain geometries. For this investigation, the 
 newly developed version 3 of the free software BASEMENT is used. This prov
 ides a two-dimensional numerical simulation tool enabling the study of wat
 er flow over arbitrary irregular terrains and possible bed-level changes, 
 supported by the Shallow Water and Exner equations for different platforms
 , such as multi-core CPUs or graphics processing units (GPUs). We demonstr
 ate on several benchmarks how the performance of the software and its robu
 stness support the accuracy of tsunami simulations on lakes and discuss fu
 ture possible outcomes.\n\nDomain: CS and Math, Emerging Applications, Cli
 mate and Weather
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