High-Frequency Nonlinear Earthquake Simulations on Petascale Heterogeneous Supercomputers

The omission of nonlinear effects in large-scale 3D ground motion estimation, which are particularly challenging due to memory and scalability issues, can result in costly misguidance for structural design in earthquake-prone regions. We have implemented nonlinearity using a Drucker-Prager yield con...

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Bibliographic Details
Published inSC16: International Conference for High Performance Computing, Networking, Storage and Analysis pp. 957 - 968
Main Authors Roten, Daniel, Yifeng Cui, Olsen, Kim B., Day, Steven M., Withers, Kyle, Savran, William H., Peng Wang, Dawei Mu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2016
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Summary:The omission of nonlinear effects in large-scale 3D ground motion estimation, which are particularly challenging due to memory and scalability issues, can result in costly misguidance for structural design in earthquake-prone regions. We have implemented nonlinearity using a Drucker-Prager yield condition in AWP-ODC and further optimized the CUDA kernels to more efficiently utilize the GPU's memory bandwidth. The application has resulted in a significant increase in the model region and accuracy for state-of-the-art earthquake simulations in a realistic earth structure, which are now able to resolve the wavefield at frequencies relevant for the most vulnerable buildings (> 1 Hz) while maintaining the scalability and efficiency of the method. We successfully run the code on 4,200 Kepler K20X GPUs on NCSA Blue Waters and OLCF Titan to simulate a M 7.7 earthquake on the southern San Andreas fault with a spatial resolution of 25 m for frequencies up to 4 Hz.
ISSN:2167-4337
DOI:10.1109/SC.2016.81