La Habra Simulations on Titan

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Overview

A series of simulations modelling the La Habra 5.1 event will be performed on ORNL Titan with in order to address these scientific and computational goals:

  • Demonstrate that Hercules-GPU software is in production status and evaluate its performance versus the CPU version
  • Evaluate goodness of fit for synthetic waveforms versus observed at 1.0 Hz, using Po Chen's updated CVM-S4 velocity model as the material properties source for the simulation.
  • [Optionally] Validate the simulation results generated by Hercules-GPU and AWP-GPU


Solver Parameters

Parameter Value Notes
Frequency 1.0 Hz
Simulation Length 100 s
Delta T 0.005 Tentative - subject to stability check
Plane Output Resolution 250m
I/O Print Rate every 10 steps
Station List File:Lahabra titan stations.txt ?
Software Version Hercules-GPU i3 GPU codes, no frequency dependent Q


Simulation Box / Velocity Model

Parameter Value Notes
Dimensions (km) 180 x 135 x 61.875
Bounding Box (LL) -119.288842 34.120549, -118.354016 35.061096, -116.846030 34.025873, -117.780976 33.096503
UCVM Version 13.9.0 No heterogeneities
Velocity Model Versions CVM-S4, CVM-S4 v26, CVM-S5
Miniumum Vs 200 m/s
Samples per wavelength 8
Hercules Etree ch-cvms400-100-4hz-200ms.e, ch-cvms426-223-4hz-200ms.e CVM-S5 etree?


Source Parameters

Parameter Value Notes
Event Name La Habra
Origin Time 2014/03/29 04:09:42.97 Source: En-Jui
Origin Location -117.930; 33.922; 5.0km Source: En-Jui
Strike/Dip/Rake 239/70/38 Source: En-Jui
Strike/Dip/Rake 134/55/155 Source: En-Jui
Slip Function ? ?


SRC Format La Habra Source

  • MAGNITUDE = 5.12
  • FAULT_LENGTH = 5.0
  • FAULT_WIDTH = 2.25
  • DEPTH_TO_TOP = 4.7125
  • STRIKE = 239
  • RAKE = 38
  • DIP = 79
  • LAT_TOP_CENTER = 33.9119
  • LON_TOP_CENTER = -117.940
  • HYPO_ALONG_STK = 0.0
  • HYPO_DOWN_DIP = 1.125
  • DLEN = 0.1
  • DWID = 0.1

BBP Run for La Habra

La Habra References

References

  1. Bielak, J., H. Karaoglu, and R. Taborda, 2011. Memory-efficient displacement-based internal friction for wave propagation simulation, Geophysics, 76(6):T131-T145.
  2. Taborda, R., Lopez, J., Karaoglu, H., Urbanic, J., and Bielak, J. (2010). Speeding up finite element wave propagation for large-scale earthquake simulations. Technical Report CMU-PDL-10-109, Carnegie Mellon University, Parallel Data Lab.
  3. Tu, T., Yu, H., Ramírez-Guzmán, L., Bielak, J., Ghattas, O., Ma, K.-L., & O’Hallaron, D.R., 2006. From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing, in Proceedings of the 2006 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, p. 15, IEEE Computer Society, Tampa, Florida.