Uintah: a scalable framework for hazard analysis

  • Authors:
  • Martin Berzins;Justin Luitjens;Qingyu Meng;Todd Harman;Charles A. Wight;Joseph R. Peterson

  • Affiliations:
  • University of Utah Salt lake City, UT;University of Utah Salt lake City, UT;University of Utah Salt lake City, UT;University of Utah, Salt lake City, UT;University of Utah, Salt lake City, UT;University of Utah, Salt lake City, UT

  • Venue:
  • Proceedings of the 2010 TeraGrid Conference
  • Year:
  • 2010

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Abstract

The Uintah Software system was developed to provide an environment for solving a fluid-structure interaction problems on structured adaptive grids on large-scale, long-running, data-intensive problems. Uintah uses a novel asynchronous task-based approach with fully automated load balancing. The application of Uintah to a petascale problem in hazard analysis arising from "sympathetic" explosions in which the collective interactions of a large ensemble of explosives results in dramatically increased explosion violence, is considered. The advances in scalability and combustion modeling needed to begin to solve this problem are discussed and illustrated by prototypical computational results.