BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Europe/Stockholm X-LIC-LOCATION:Europe/Stockholm BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210916T132450Z LOCATION:Louis Favre DTSTART;TZID=Europe/Stockholm:20210706T150000 DTEND;TZID=Europe/Stockholm:20210706T153000 UID:submissions.pasc-conference.org_PASC21_sess125_msa253@linklings.com SUMMARY:Challenges and Solutions for Faster than Real-Time Tsunami Simulat ions DESCRIPTION:Minisymposium\n\nChallenges and Solutions for Faster than Real -Time Tsunami Simulations\n\nde la Asunción, Castro, Macías, González, Sán chez\n\nTsunami-HySEA is a numerical model for the simulation of tsunamis generated by earthquakes running on GPU architectures. These simulations r equire a great computational demand due to the big sizes of spatial and te mporal domains. In addition, fast response times are required so that the local authorities can take appropriate measures before the tsunami reaches the coastal areas. Probabilistic Tsunami Hazard Assessments (PTHA) are al so useful to quantify the probability of exceeding a specific inundation a t a given location by considering all the potential hazards that threaten this location. In this kind of studies, thousands of simulations are typic ally performed. The limit of disk storage may be also a problem in PTHA, a nd therefore techniques to reduce the size of the generated data must be e mployed. In this talk we present how we have dealt with all these challeng es during the development of Tsunami-HySEA in the framework of the ChEESE project.
Acknowledgements: This research has been partially supported by ChEESE project (EU Horizon 2020, grant agreement Nº 823844).\n\nD omain: CS and Math, Solid Earth Dynamics END:VEVENT END:VCALENDAR