Argonne National Laboratory Mathematics and Computer Science Division
Enhancing Productivity Through World-Class Science Using World-Class Computing Facilities
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Great Science through Collaboration

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.

  • 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. Have a look at some of our recent success stories.
  • Parallel Tools -- developing the system software technologies required to make terascale computing feasible. Check out our work on ZeptoOS and the Zoid!
  • 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 Biology -- combining computer science with computational biology, with activities ranging from bioinformatics to whole cell modeling.
  • High-Performance Computer Systems providing access to state-of-the-art parallel computers, mass storage, and advanced networks since the early 1980s. Check out our history Our current resources are as exciting as their names: Jazz and Blue Gene/L.
  • SciDAC -- enabling 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


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    Last modified: December 06, 2007