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dc.contributor.authorWu, Xingfu
dc.contributor.authorDuan, Benchun
dc.contributor.authorTaylor, Valerie
dc.date.accessioned2016-02-25T13:53:32Z
dc.date.available2016-02-25T13:53:32Z
dc.date.issued2011
dc.identifier.citationWu X, Duan B, Taylor V (2011) Parallel Earthquake Simulations on Large-Scale Multicore Supercomputers. Handbook of Data Intensive Computing: 539–562. Available: http://dx.doi.org/10.1007/978-1-4614-1415-5_21.
dc.identifier.doi10.1007/978-1-4614-1415-5_21
dc.identifier.urihttp://hdl.handle.net/10754/599136
dc.description.abstractEarthquakes are one of the most destructive natural hazards on our planet Earth. Hugh earthquakes striking offshore may cause devastating tsunamis, as evidenced by the 11 March 2011 Japan (moment magnitude Mw9.0) and the 26 December 2004 Sumatra (Mw9.1) earthquakes. Earthquake prediction (in terms of the precise time, place, and magnitude of a coming earthquake) is arguably unfeasible in the foreseeable future. To mitigate seismic hazards from future earthquakes in earthquake-prone areas, such as California and Japan, scientists have been using numerical simulations to study earthquake rupture propagation along faults and seismic wave propagation in the surrounding media on ever-advancing modern computers over past several decades. In particular, ground motion simulations for past and future (possible) significant earthquakes have been performed to understand factors that affect ground shaking in populated areas, and to provide ground shaking characteristics and synthetic seismograms for emergency preparation and design of earthquake-resistant structures. These simulation results can guide the development of more rational seismic provisions for leading to safer, more efficient, and economical50pt]Please provide V. Taylor author e-mail ID. structures in earthquake-prone regions.
dc.description.sponsorshipThis work is supported by NSF grants CNS-0911023, EAR-1015597, andthe Award No. KUS-I1-010-01 made by King Abdullah University of Science and Technology(KAUST). The authors would like to acknowledge National Center for Computational Science atOak Ridge National Laboratory for the use of Jaguar and JaguarPF under DOE INCITE project“Performance Evaluation and Analysis Consortium End Station.
dc.publisherSpringer Science + Business Media
dc.titleParallel Earthquake Simulations on Large-Scale Multicore Supercomputers
dc.typeBook Chapter
dc.identifier.journalHandbook of Data Intensive Computing
dc.contributor.institutionDepartment of Computer Science & Engineering, Institute for Applied Mathematics and Computational Science, Texas A&M University, College Station, TX, USA
dc.contributor.institutionDepartment of Geology & Geophysics, Texas A&M University, College Station, TX, USA
dc.contributor.institutionDepartment of Computer Science & Engineering, Texas A&M University, College Station, TX, USA
kaust.grant.numberKUS-I1-010-01


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