SCEC Award Number 25259 View PDF
Proposal Category Collaborative Research Project (Multiple Investigators / Institutions)
Proposal Title OneSciencePlace Cyberinfrastructure Developments in Support of SCEC Research
Investigator(s)
Name Organization
Amit Chourasia University of California, Los Angeles Alice-Agnes Gabriel University of California, San Diego Philip Maechling University of Southern California
SCEC Milestones C1,2,3-1, C1-2, C2-2, C3-1, D2-1, D3-1 SCEC Groups RC, EFP, CCB
Report Due Date 03/15/2026 Date Report Submitted 05/08/2026
Project Abstract
 Quakeworx is an NSF-supported project led by SCEC researchers that has developed a science gateway capable of running advanced earthquake research applications on open-science computer resources. The Quakeworx gateway makes use of the NSF-funded OneSciencePlace cyberinfrastructure which integrates the sophisticated hardware and software required to run high performance simulations and manage research data on open-science computing resources. In this proposal, we request funding to implement SCEC-specific enhancements to the OneSciencePlace software by integrating the Quakeworx gateway with supercomputer systems outside of San Diego Supercomputer Center (SDSC). Extending the pool of HPC resources that can be used by the Quakeworx system will facilitate addressing several key goals of SCEC including analysis of seismic hazard and rapid science response following large earthquakes. The supercomputer facilities to be made accessible in the Quakeworx gateway include TACC Frontera, NCSA Delta, and IU Jetstream2, and will increase the ability of SCEC researchers to address key goals of the Center.
Intellectual Merit This project advances open, reproducible, FAIR-aligned cyberinfrastructure for the SCEC community by extending the OneSciencePlace platform to support the heterogeneous compute needs of modern earthquake research, leadership-class CPU systems, large GPU systems, and cloud VMs. Containerized science apps with Tapis-based job submission, provenance tracking, and reduced-order modeling workflows lower the technical barrier to running complex simulations and enable rapid-response computing scenarios such as post-event UCERF3-ETAS forecasting and CyberShake-style physics-based hazard analysis. The Tandem and SeisSol app integrations give SCEC researchers a low-friction route from idealized benchmarks to data-constrained scenario simulations on national HPC.
Broader Impacts Quakeworx makes advanced earthquake-simulation tools accessible to a broad community of researchers, students, and educators. The January 2025 kick-off workshop reached 65 hands-on participants from 16 countries selected from more than 150 applicants; training materials have since been accessed by over 1,300 users. The July 2025 Tandem Hackathon expanded the contributor base for the Tandem code through GPU-development tracks, benchmark contributions, and co-authorable publications. Quakeworx apps have been integrated into the Advanced Seismology course at UC San Diego, with new teaching materials for seismology curricula, and the team is planning use cases for secondary education through inquiry-based experiments on rupture directivity and shaking amplitudes.
Project Participants This award was initially led by Amit Chourasia (UCSD/SDSC), with Philip J. Maechling (SCEC/USC) as unfunded co-PI. Following Chourasia's transition out of SDSC during the project period, leadership of the SCEC reporting and remaining deliverables was assumed by Alice-Agnes Gabriel (UCSD/SIO), now UCSD PI of the broader Quakeworx project. The work described below was carried out by the SIO team, students John Rekoske, Jeena Yun and postdoc Bar Oryan, and the SDSC engineering team in close collaboration with SCEC software staff (F. Silva, A. Bhatthal) and SCEC science-app PIs across UCSD, USC, UIUC, and UCLA.
Exemplary Figure Figure 2. Selection of curated science apps deployed in Quakeworx, including SeisSol, pyCSEP, the San Andreas scenarios reduced-order modeling app, UCVM, the SCEC Broadband Platform, MOOSE-FARMS, QuakeNN, UCERF3-ETAS, Tandem, and Jupyter. Apps are containerized with Singularity/Docker and launchable in batch or interactive mode. Source: Rekoske et al., SSA 2026 talk.
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