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What happens to water under high pressures and temperatures?
How to model laser pulse propagation through the atomic medium?
How does the fuel burn inside of a jet engine?
How do the stress-strain curves of an alminium-rich material change when
the composition and the temperature are altered?
To answer these questions, and other similar questions, models
often based on partial differential equations are solved on the computer.
Our research concerns the algorithms, software and systems for enabling
such computational modeling.
In our Scalable Scientific Computing Lab, we develop new algorithms,
applications, and software for solving scientific
problems on high-performance parallel computers.
The emphasis is on scalability, the ability of applications
to scale their performance with the number of processors while
solving larger problems.
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