MCS Research

From basic research in such "core" areas as optimization and linear algebra to exploration of new technologies such as teleimmersion, MCS researchers have a common goal: improving the effectiveness of scientists in solving challenging problems. Many of these activities involve collaboration or partnerships with universities, industry, and other research institutions worldwide.

Much of our research is funded under the SciDAC-2 program. SciDAC will enable the use of terascale computers to dramatically extend our exploration of the fundamental processes of nature and to predict the behavior of a broad range of complex natural and engineered systems.

Essential to this research is access to state-of-the-art parallel computers, mass storage, and advanced networks, including Jazz and Blue Gene/L.

• Algorithms, Software, and Applications -- conducting leading-edge research on computational and applied mathematics with an emphasis on multiscale simulation of complex phenomena, optimization of simulation-based models, sensitivity analysis and uncertainty quantification, and modeling and simulation of complex and multiphase flows.
  
  
• Parallel Tools -- developing the system software technologies required to make terascale computing feasible.


• Distributed Systems Research -- ensuring that geographically distributed high-performance computers, workstations, and visualization devices can be linked together effectively for computational science and engineering.
  
  
• Collaborative and Virtual Environments -- enabling development of wide-area collaborative science. Visit our newest technology: the Access Grid and the Active Mural.
  
  
• Computational Science-- combining computer science with computational biology, with activities ranging from bioinformatics to whole cell modeling.