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Early Science Program (ESP) is an Argonne National Laboratory program that provides SCEC computational scientists with access to leadership class DOE computing facilities.


Argonne’s Leadership Computing Facility (ALCF) will install Mira, a next generation Blue Gene system (BG/Q), in 2012. The ALCF’s stated requirements for the 10 petaflops system include approximately 0.75 million cores and 0.75 petabytes of memory, with 16 cores and 16 gigabytes of memory per node.

The Early Science phase of the project to bring Mira to production status is a period of months between when the machine is first accepted and when the system moves into full production. During this time, the facility “shakes down” the system with the help of a small community of users running production applications: the Early Science projects. This period provides projects with a significant head start for adapting to the new machine and access to substantial computational time. During this shakedown period, users will assist in identifying the root causes of any system instabilities, and will work with ALCF staff to help develop solutions. The ALCF is organizing this activity as the Early Science Program (ESP).

SCEC ESP Project

  • Name:Using Multi-scale Dynamic Rupture Models to Improve Ground Motion Estimates
  • PI: Thomas H. Jordan
  • Co-PI: Yifeng Cui
  • Co-PI: Kim Olsen
  • Co-PI: Shuo Ma
  • Co-PI: Geoffrey Ely

Abstract: Using Multi-scale Dynamic Rupture Models to Improve Ground Motion Estimates

We will use Southern California Earthquake Center (SCEC) dynamic rupture simulation software to investigate high-frequency seismic energy generation. The relevant phenomena (frictional breakdown, shear heating, effective normal-stress fluctuations, material damage, etc.) controlling rupture are strongly interacting and span many orders of magnitude in spatial scale, requiring high-resolution simulations that couple disparate physical processes (e.g., elastodynamics, thermal weakening, pore-fluid transport, and heat conduction). Compounding the computational challenge, we know that natural faults are not planar, but instead have roughness that can be approximated by power laws potentially leading to large, multiscale fluctuations in normal stress. The capacity to perform 3D rupture simulations that couple these processes will provide guidance for constructing appropriate source models for high-frequency ground motion simulations. SCEC’s CyberShake system can calculate physics-based (3D waveform modeling-based) probabilistic seismic hazard analysis (PSHA) curves for California. On the Blue Gene/Q, we will calculate a 1Hz PSHA hazard map for California using improved rupture models from our multi-scale dynamic rupture simulations. We will calculate this high-resolution probabilistic seismic hazard map using the technique developed on the SCEC CyberShake project. This calculation will be done after integration of an improved pseudo-dynamic rupture generator into CyberShake system and production of a new and improved UCERF2.0-based Extended Rupture Forecast (ERF). This calculation will provide numerous important seismic hazard results, including a state-wide extended earthquake rupture forecast with rupture variations for all significant events, a synthetic seismogram catalog for thousands of scenario events and more than 5000 physics-based seismic hazard curves for California.

SCEC Research Summary ESP Workshop

Scott Callaghan presented the following summary of SCEC ESP Research plans at the ALCF Early Science Program Kick-off Workshop, Oct 18-19, 2010.

ESP Resources

Related Entries

See Also