Contact Info
Projects
Optimization R&D focuses on the
development of algorithms for simulation-based objective functions.
Specific areas of research include parallel optimization, model
management, and interior-point methods.
Fault-tolerant algorithms are
essential for the robustness of large-scale distributed simulations.
Research includes the development of fault detection and recovery
techniques for large cluster systems assembled from commodity parts.
Publications, Presentations, and Other Info
Summer Students
Aaron Fisher (2001)
University of California
Suzanne Shontz
(1999, 2000)
Center for Applied Mathematics
Cornell University
Chris Siefert
(2000)
Department of Computer Science
University of Illinois
Copyright © 2001, Sandia Corporation. All rights reserved.
Acknowledgments and
Disclaimer
