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LCPC 2003:
The 16th International Workshop on
Languages and Compilers for Parallel Computing

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LCPC'03: F. Darema Keynote
Dynamic Data Driven Application Systems
Frederica Darema
The National Science Foundation

Abstract
Dynamic Data Driven Application Systems (DDDAS) seeks to enable the capability for application simulations to dynamically incorporate at execution time additional data (from archival or on-line measurements of the actual systems), and in addition the ability of an application simulation to control and guide dynamically the measurement process. Such capabilities offer the promise of more accurate predictions, more precise controls, and more reliable outcomes in application simulations, and the potential of enabling more effective measurement processes. The ability of application simulations to dynamically accept and respond to field (or archival) data measurements, and/or control such measurements in a dynamic manner, adds a new dimension in the capabilities of applications, and in the capabilities of measurement systems, and will have a major technological impact as needs for such capabilities are already emerging in business, engineering, and scientific processes, analysis, and design. In addition, supporting such application and measurement environments enhanced runtime systems software support and will have a major impact in the kinds of cyber-infrastructure capabilites needed.

Biography
Dr. Darema is the Senior Science and Technology Advisor in ACIR and CISE, and Director of the Next Generation Software (NGS) Program. Dr. Darema's interests and technical contributions span the development of parallel applications, parallel algorithms, programming models, environments, and performance methods and tools for the design of applications and of software for parallel and distributed systems. Dr. Darema received her BS degree from the School of Physics and Mathematics of the University of Athens - Greece, and MS and Ph. D. degrees in Theoretical Nuclear Physics from the Illinois Institute of Technology and the University of California at Davis Respectively, where she attended as a Fulbright Scholar and a Distinguished Scholar. After Physics Research Associate positions at the University of Pittsburgh and Brookhaven National Lab, she received an APS Industrial Fellowship and became a Technical Staff Member in the Nuclear Sciences Department at Schlumberger-Doll Research. Subsequently, in 1982, she joined the IBM T. J. Watson Research Center as a Research Staff Member in the Computer Sciences Department and later-on she established and became the manager of a research group at IBM Research on parallel applications. While at IBM she also served in the IBM Corporate Strategy Group examining and helping set corporate-wide strategies. In 1984 Dr. Darema proposed the SPMD (Single-Program-Multiple-Data) computational model that has become the popular model for programming today's parallel and distributed computers. Dr. Darema has been at NSF since 1994, where she has developed initiatives for new software capabilities, a new paradigm for applications (DDDAS), and pushing for research in the interface of neurobiology and computing. The NGS, the BITS, and the Scalable Enterprise Systems programs foster such ideas. She is also managing the Dynamic Data Driven Application Systems (DDDAS; an ITR component). Also involved in the Nanotechnolgy Science and Engineering, the Scalable Enterprise Systems, and the Sensors programs (cross-Directorate programs). During 1996-1998 she completed a two-year assignment at DARPA where she initiated a new thrust for research on methods and technology for performance engineered systems.

LCPC'03
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