Current Projects

Simulating Earthquake Faults (FESD)

HPGeoC Researchers will be assisting researchers from six other universities and the US Geological Survey (USGS) to develop detailed, large-scale computer simulations of earthquake faults under a new $4.6 million National Science Foundation (NSF) grant announced September 2011. The initial focus is on the North Americn plate boundary and the San Andreas system of Northern and Southern California.
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Annual Meeting @ SDSC, 1/31/13-2/1/13

GPU Acceleration Project

NVIDIA donated six latest GPU cards in supporting HPGeoC research as part of Academic Partnership. To make full use of GPU acceleration, we pursue the hybrid programming CPU+GPU paradigm with AWP-ODC code and investigate the optimal strategies to provide maximum efficiency and scalability on Hybrid machines including ORNL Titan, NCSA Blue Waters and XSEDE Keeneland.
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Supercomputing On Demand: SDSC Supports Event-Driven Science

HPGeoC supports on-demand CalTech users for urgent science earthquake applications. National Science Foundation (NSF) XSEDE supercomputing resource Trestles is allocated to open this new computing paradigm. We've developed novel ways of utilizing this type of allocation as well as scheduling and job handling procedures.
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Petascale Inference in Earthquake System Science (PetaShake-2)

This is a SCEC project with cross-disciplinary, multi-institutional CME Collaboration. We are providing a platform-independent petascale earthquake application that is able to enlist petascale computing to tackle PetaShake problems through a graduated series of milestone calculations.
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Petascale Cyberfacility for Physics-based Seismic Hazard Analysis (PetaSHA-3)

The SCEC PetaSHA-3 project is sponsored by NSF to provide society with better predictions of earthquake hazards. This project will provide the high- performance computing required to achieve the objectives for earthquake source physics and ground motion prediction outlined in the SCEC3 (2007-2012) research plan.
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SCEC M8 Simulation

M8 is the largest earthquake simulation ever conducted, a collaborative effort led by SCEC and requiring collaboration of more than 30 seismologists and computational scientists, supported by DOE INCITE allocation award. It presented tremendous computational and I/O challenges. The simulation was conducted on NCCS Jaguar, a ACM Gordon Bell finalist at Supercomputing'10.
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Blue Waters Project

This is part of NSF PRAC award. On Blue Waters, our research will investigate how earthquake ruptures produce high frequency ground motions.  High frequency ground motions are known to have an important impact on seismic hazards. Existing HPC systems cannot achieve the physical scale range needed to explore the source of high frequencies.
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Fault Tolerance Project

Current checkpoint/restart approach may introduce an unacceptable amount of overhead into some file systems. In collaboration with CSM, we are developing a fault tolerance framework in which the survival application processes will adapt itself to failures. In collaborating with ORNL, we are integrating ADIOS to scale checkpointing up on Lustre file system.
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Parallelization of Ma-FE code

Supported by TeraGrid ASTA program, we are developing a parallel finite element application code, based on SDSU Shuo Ma's FE code. The application uses 8-node hexahedral elements with one-point integration and both viscous and stiffness hourglass control schemes to deal with free-surface topography and nonplanar fault surfaces, which can model dynamic rupture on geometrically complex faults in heterogeneous velocity structure with realistic intrinsic attenuation and surface topography.
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AWP-ODC-SGT Development

AWP-ODC is a highly scalable, parallel finite-difference application developed at SDSC and SDSU to simulate dynamic rupture and wave propagation that occurs during an earthquake. We are implementing and verifying strain Green's tensor (SGT) creation and seismogram synthesis. This is based on the need for maximum computational efficency in the waveform modeling of CyberShake research, a project to consume hundreds of millions of processor-core hours to create a California state-wide physics-based seismic hazard map.
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Topology-aware Communication and Scheduling (HECURA-2)

Topology-aware MPI communication, mapping, and scheduling is a new research area. This is to take advantage of the topological path to communication optimization  (either point-to-point or collective). We are participating in a joint project between OSU, TACC and SDSC as a case study in how to implement new topology-aware MPI software at the application level.

SCEC Data Visualization

This project focuses on the visualization of a series of large earthquake simulations in the interest of gaining scientific insight into the impact of Southern San Andreas Fault earthquake scenarios on Southern California. In addition to creating its own software, the group also uses tools installed and maintained on SDSC computational resources.
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Recent Completions

High Performance Computing Allocations

Sources of Funding