Research Assistants: T. Drashansky, S. Markus
Sponsor: ARPA
The predicted growth of computational power and network bandwidth
suggests that computational modeling and experimentation will be
one of the main tools in big and small science. In this scenario,
computational modeling will shift from the current single physical
component design to the design of a whole physical system with a
large number of components that have different shapes, obey
different physical laws and manufacturing constraints, and interact
with each other through geometric and physical interfaces. The
design of the engine requires that these different domain-specific
analyses interact in order to find the final solution. The
different domains share common parameters and interfaces but each
has its own parameters and constraints. We refer to these
multi-component based physical systems as multi-physics
applications.
The realization of the above scenario, which is expected to have
significant impact in industry, education, and training, will
require the development of new algorithmic strategies and software
for managing the complexity and harvesting the power of the
expected HPCC resources; it will require
problem solving environments technology to support
programming-in-the-large and reduce the overhead of HPCC computing.
The goal of this research is to identify the framework for the
numerical simulation of multi-physics applications and to develop
the enabling theories and technologies needed to support and
realize this framework in specific applications.
See the
PDEPACK and
SciAgents
project web pages for more information.