Computational Science Laboratory "Inspired Computational Solutions"

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In the Computational Science Laboratory we do fundamental research in numerical methods and develop novel algorithms for the adaptive solution of ordinary and partial differential equations, linear algebra, optimization, methods to model systems with uncertainty, etc. We develop high performance software for large scale-parallel platforms. We apply our new technologies to many important fields. Examples include modeling of atmospheric pollution for better environmental policies; simulation of the stochastic chemical processes inside living cells and understanding the complex biological regulation networks; design of optimal trajectories for the future generation of satellites at Jet Propulsion Laboratory; assimilation of real data streams into atmospheric models for improved forecasts of extreme events like hurricanes; etc. Computational platforms range from multicore workstations and accelerated architectures (GPUS, IBM cell) to large scale parallel supercomputers (see e.g., System X - http://www.tcf.vt.edu).
RESEARCH  INTERESTS	OUR   TEAM
Scientific Computing Parallel Computing Mathematical Software Development Numerical Methods for Stiff ODE, DAE Conservation Laws Advection-Diffusion-Reaction Equations Sparse Linear Algebra Sensitivity Analysis Data Assimilation Automatic Differentiation Air Quality Modeling Computational Biology
	Large picture Address: Room 2201 KnowledgeWorks II Bldg. 2202 Kraft Dr Blacksburg, VA 24061 Phone: 540-231-6186.

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