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• W2023143645 abstract "We have developed a highly scalable and efficient GPU-based finite-difference code (AWP) for earthquake simulation that implements high throughput, memory locality, communication reduction and communication/computation overlap and achieves linear scalability on Cray XK7 Titan at ORNL and NCSA's Blue Waters system. We simulate realistic 0-10 Hz earthquake ground motions relevant to building engineering design using high-performance AWP. Moreover, we show that AWP provides a speedup by a factor of 110 in key strain tensor calculations critical to probabilistic seismic hazard analysis (PSHA). These performance improvements to critical scientific application software, coupled with improved co-scheduling capabilities of our workflow-managed systems, make a statewide hazard model a goal reachable with existing supercomputers. The performance improvements of GPU-based AWP are expected to save millions of core-hours over the next few years as physics-based seismic hazard analysis is developed using heterogeneous petascale supercomputers." @default.
• W2023143645 created "2016-06-24" @default.
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• W2023143645 date "2013-11-17" @default.
• W2023143645 modified "2023-10-14" @default.
• W2023143645 title "Physics-based seismic hazard analysis on petascale heterogeneous supercomputers" @default.
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• W2023143645 doi "https://doi.org/10.1145/2503210.2503300" @default.
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