Parallel Earthquake Simulations on Large-Scale Multicore Supercomputers

Xingfu Wu, Benchun Duan, Valerie Taylor

Research output: Chapter in Book/Report/Conference proceedingChapter


Earthquakes 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.
Original languageEnglish (US)
Title of host publicationHandbook of Data Intensive Computing
PublisherSpringer Nature
Number of pages24
ISBN (Print)9781461414148
StatePublished - Nov 11 2011
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-I1-010-01
Acknowledgements: This 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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