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Computational modeling and simulation were among the most significant developments in the 20th Century. Scientists and engineers in the Institute will extend these techniques to understand and describe physical, chemical and biological processes as well as predict the behavior of complex natural and engineered systems.

Wen-mei Hwu (Electrical and Computer Engineering/Coordinated Science Laboratory) leads a project to develop Next-Generation Acceleration Systems for Advanced Science and Engineering Applications. This project will develop application algorithms, programming tools, and software for the deployment of next-generation accelerators—including graphics processing units and field-programmable gate arrays—in science and engineering applications. The mission is to empower science and engineering researchers by enabling their applications to run 100 times faster and at much lower cost than traditional parallel processing techniques. Researchers will work on new algorithms and programming styles for taking full advantage of acceleration technologies in molecular dynamics and quantum chemistry, cosmology, and biomedical imaging.

Associated faculty and staff:
Robert Brunner, Astronomy
Deming Chen, Electrical and Computer Engineering
Laxmikant Kale, Computer Science
Volodymyr Kindratenko, NCSA
Steven Lumetta, Electrical and Computer Engineering
Todd Martinez, Chemistry
Sanjay Patel, Electrical and Computer Engineering
Rob Pennington, NCSA
James Phillips, Beckman Institute
David Raila, Computer Science
Klaus Schulten, Physics/Beckman Institute
David Semeraro, NCSA
Michael Showerman, NCSA
Craig Steffen, NCSA
Brad Sutton, Bioengineering