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Research
This project is a multi-site collaboration
to develop an integrated framework for creating, executing, and managing
physics-based earthquake simulations required to predict strong ground
motions.
Working with members of the
Southern California Earthquake Center (SCEC),
our goal is to provide effective delivery of simulation products to a
broad-based user community of geophysicists, civil and structural
engineers, city planners, and emergency managers.
This project will develop new
techniques for describing, configuring and executing complex
computational pathways resulting from the composition of various
simulation components. In particular, this project brings
together four distinct computer science disciplines:
- knowledge representation and reasoning, by
ISI's PowerLoom project,
to manage the heterogeneity of the simulation models
and capture the complex relationships between physical processes,
research simulation models, simulation code, and data products
- Grid resource-sharing environments, through
ISI's Center for Grid Computing and
Globus,
to support the execution of simulation scenarios in high performance
computing resources
- digital libraries and information management,
by UCSD, to manage the collections of data and
simulation code repositories as well as multiple versions of the models
- interactive knowledge acquisition, by
us,
to enable users with a wide range of sophistication to compose
multi-step simulations from libraries of simulation codes and data
The contribution of our research group to this project
is threefold:
- interactive tools that enable users that are not geophysics experts
to compose and run simulations
- distributed representations using semantic markup languages of
earthquake related information
- dynamic planning and execution techniques that will
enable users to run simulations in the computational Grid
While we will focus on the application of
this new computer science to the challenge problem of seismic hazard
analysis, the techniques and integrated modeling framework that will be
developed in this project will be directly applicable to many other
disciplines.
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