Difference between revisions of "CAAR"
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'''Physics-based Urban Seismic Hazard Model Application Readiness | '''Physics-based Urban Seismic Hazard Model Application Readiness | ||
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PI: Thomas H. Jordan | PI: Thomas H. Jordan | ||
Revision as of 04:47, 16 February 2015
SCEC is preparing a Center for Accelerated Application Readiness Proposal (CAAR) to participate in OLCF development of their next generation supercomputer called Summit.
Title
Physics-based Urban Seismic Hazard Model Application Readiness
PI: Thomas H. Jordan
Southern California Earthquake Center
Abstract
Southern California Earthquake Center (SCEC) geoscientists and computers scientists propose to collaborate with researchers at Oak Ridge Leadership Computing Facility (OLCF) on a CAAR project to establish application readiness for SCEC’s physics-based seismic hazard modeling software to ensure it runs efficiently on the next generation of DOE supercomputers. The resulting computational tools will calculate physics-based predictions of ground motions using realistic fault rupture models and 3D geological structures using the next generation of DOE supercomputing systems, and will be used to calculate physics-based urban seismic hazard models for cities in the United States.
SCEC’s application readiness software development will focus on three existing high-performance seismic hazard codes that form the basis for SCEC’s CyberShake seismic hazard computational platform. The proposed SCEC/CAAR application readiness collaboration will focus on developing and extending the efficiency, scalability, and portability of three primary SCEC seismic hazard application codes including (1) AWP-ODC, a finite difference dynamic rupture and earthquake wave propagation code with both CPU and GPU implementations, (2) Hercules, a finite element earthquake wave propagation code with both CPU and GPU implementations, and (3) CyberShake, a workflow-oriented, heterogeneous, probabilistic seismic hazard computational platform that performs probabilistic seismic hazard calculations by running ensembles of earthquake simulations using AWP-ODC or Hercules, and then hundreds of millions of loosely-coupled post-processing calculations. Computational improvements to AWP-ODC and Hercules will help achieve the regional scale, and maximum simulated frequencies required by engineering users. Computational improvements to CyberShake will promote solution-oriented HPC computing environments that support research calculations requiring ensemble and automated reliable, repeatable, multi-stage research calculations.
We believe it is important to improve the scalability of these three codes as a group. Two of the codes, AWP-ODC and Hercules, provide alternative methods for solving equivalent deterministic earthquake wave propagation problems, and it is important to maintain alternative methods as we increase their scale and resolution. For critical engineering simulation applications, such as seismic design limits of tall buildings, it is important to show equivalent results using alternative methods, as a way to confirm a simulation results. Increasing the scale of the CyberShake workflows is important to ensure it is possible to execute end-to-end ensemble calculations, using the earthquake wave propagation software. The CyberShake platform produces the computational data products needed by the broad impact users of urban seismic hazard models.
