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 | 0.001 | ? |
| Plane Output Resolution | 250m | ? |
| I/O Print Rate | every 10 steps | ? |
| Station List | File:Lahabra titan stations.txt | ? |
| Software Version | Hercules-GPU i3 |
Simulation Box / Velocity Model
| Parameter | Value | Notes |
|---|---|---|
| Dimensions (km) | 180 x 135 x 61.875 | |
| Bounding Box (LL) | ? | |
| UCVM Version | ? | No heterogeneities |
| Velocity Model Version | CVM-S4 v26 | ? |
| Miniumum Vs | 500 m/s | ? |
| Samples per wavelength | 8 | |
| Hercules Etree | TBD |
Source Parameters
| Parameter | Value | Notes |
|---|---|---|
| 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 | 134/55/155 | Source: En-Jui |
| Slip Function | ? | ? |
References
- Bielak, J., H. Karaoglu, and R. Taborda, 2011. Memory-efficient displacement-based internal friction for wave propagation simulation, Geophysics, 76(6):T131-T145.
- 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.
- 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.
