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 (e.g., GPUs, IBM cell)
to large scale parallel supercomputers.
VT CoE Scholar of the Week, April 30, 2012
Research highlights for observation impact project on research.gov, 2012
Dr. Sandu's tutorial on data assimilation, SAMSI Uncertainty Quantification Methodology Opening Workshop, September 2011
Dr. Sandu's lecture at SAMSI/Sandia summer school on Uncertainty Quantification, June 2011
The 2010 NSF ARRA video report highlights CSL's work on air quality modeling.
Some of CSL's research features in the 2008 VT Research Magazine.