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Award Abstract #0426971
ITR-(ASE+NHS)-(dmc+sim): Simulation Transformation for Dynamic, Data-Driven Application Systems (DDDAS)


NSF Org: CNS
Division of Computer and Network Systems
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Initial Amendment Date: September 21, 2004
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Latest Amendment Date: July 5, 2006
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Award Number: 0426971
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Award Instrument: Standard Grant
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Program Manager: Anita J. LaSalle
CNS Division of Computer and Network Systems
CSE Directorate for Computer & Information Science & Engineering
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Start Date: October 1, 2004
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Expires: September 30, 2008 (Estimated)
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Awarded Amount to Date: $901150
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Investigator(s): Paul Reynolds pfr@virginia.edu (Principal Investigator)
David Brogan (Former Principal Investigator)
Harsha Chelliah (Co-Principal Investigator)
Simonetta Liuti (Co-Principal Investigator)
Paul Reynolds (Former Co-Principal Investigator)
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Sponsor: University of Virginia Main Campus
P.O. BOX 400195
CHARLOTTESVILLE, VA 22904 434/924-4270
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NSF Program(s): ITR FOR NATIONAL PRIORITIES
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Field Application(s): 0000912 Computer Science
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Program Reference Code(s): HPCC, 9218, 2884
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Program Element Code(s): 7314

ABSTRACT

Brogan, David

0426971

Our world is increasingly instrumented and networked with remote sensing and computational devices, creating new opportunities for enhanced analysis and prediction. Exploitation of these opportunities requires dynamic, data-driven application systems (DDDAS) composed from complex combinations of sensors, networks, computational resources, simulation software, and humans-in-the-loop. The project will develop an end-to-end DDDAS simulation design methodology and transformation process that will improve the potential for simulations to adapt to the dynamic composition of computational and data resources at run time.



The project will deploy a crosscutting approach to simulation design and transformation called .COERCE.. COERCE addresses the immediate challenges of making simulations work most effectively in existing dynamic, data-driven application systems. COERCE is both coercibility (a property of simulations) and coercion (a process). Coercibility addresses the practices and methods whereby designer knowledge about how a simulation can be transformed is captured (possibly in simulation language constructs) to support future coercion. Coercibility provides for the capture and representation of simulation properties. Coercion is the process of transforming a simulation using a human-controlled mix of code modification and semi-automated analysis and optimization to meet a specific set of requirements, possibly differing from those for which the simulation was originally designed.

Through coercion, preexisting (legacy) simulations can be transformed to adapt to new or missing data sources, to change fidelity, and to change their roles in a larger data-driven system.




PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

Carnahan,J., Reynolds, P.. "Requirements for DDDAS Flexible Point Support," 2006 ACM/IEEE Winter Simulation Conference, 2006.

Gore, R, Reynolds, P, Tang, L. Brogan, D. "Explanation Exploration: Exploring Emergent Behavior," ACM/IEEE Workshop on Principles of Advanced and Distributed Simulation, June, 2007, 2007.

H.~Honkanen and S.~Liuti. "New approach to the Parton Distribution Functions: Self-Organizing Maps," arXiv, 2008.

J.Carnahan, H.Honkanen, S.Liuti, Y.Loitiere and P.Reynolds. "New avenue to the Parton Distribution Functions: Self-Organizing Maps," Phys. Rev. D, 2009.

Spiegel,M., Reynolds, P., Brogan, D.. "Grand Challenge Case Studies in a Simulation Curriculum," 2006 ACM/IEEE Winter Simulation Conference, 2006.

Zambon, A.C. and Chelliah, H.K.. "Acoustic-Wave Interactions with Counterflow Single- and Twin-Premixed Flames: Finite-Rate Kinetics, Heat Release and Phase Effects," Proc. Combust. Institute, v.31, 2007, p. 1247.

Zambon, A.C. and Chelliah, H.K.. "Self-sustained Acoustic-Wave Interactions with Counterflow Flames," J. Fluid Mechanics, v.560, 2006, p. 249.

CONFERENCE PROCEEDINGS PRODUCED AS A RESULT OF THIS RESEARCH

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Bartholet, RG; Brogan, DC; Reynolds, PF. "The computational complexity of component selection in simulation reuse," in 2005 Winter Simulation Conference (WSC 05)., 2005, p. 2472-2481. 

Carnahan, JC; Policastro, SA; Carson, EC; Reynolds, PF; Kelly, RG. "Using flexible points in a developing simulation of selective dissolution in alloys," in 2007 Winter Simulation Conference., 2007, p. 870-878. 

Carnahan, JC; Reynolds, PF. "Requirements for DDDAS flexible point support," in 2006 Winter Simulation Conference., 2006, p. 2101-2108. 

Carnahan, JC; Reynolds, PF; Brogan, DC. "Visualizing coercible simulations," in Winter Simulation Conference 2004., 2004, p. 411-419. 

Carnahan, JC; Reynolds, PF; Brogan, DC. "Simulation-specific characteristics and software reuse," in 2005 Winter Simulation Conference (WSC 05)., 2005, p. 2492-2499. 

Fox, MR; Brogan, DC; Reynolds, PF. "Approximating component selection," in Winter Simulation Conference 2004., 2004, p. 429-434. 

Gore, R; Reynolds, PF. "An exploration-based taxonomy for emergent behavior analysis in simulations," in 2007 Winter Simulation Conference., 2007, p. 1211-1219. 

Gore, R; Reynolds, PF; Tang, LJ; Brogan, DC. "Explanation exploration: Exploring emergent Behavior," in 21st International Workshop on Principles of Advanced and Distributed Simulation (PADS 2007)., 2007, p. 113-120. 

Reynolds, P; Brogan, D; Carnahan, J; Loitiere, Y; Spiegel, M. "Capturing scientists' insight for DDDAS," in 6th International Conference on Computational Science (ICCS 2006)., v.3993, 2006, p. 570-577. 

Reynolds, PF; Spiegel, M; Liu, XY; Gore, R. "Validating evolving simulations in COERCE," in 7th International Conference on Computational Science (ICCS 2007)., v.4487, 2007, p. 1238-1245. 


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Last Updated:April 2, 2007