Resource Optimization for Battle Management

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$1,915,904.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
HQ0147-11-C-7752
Award Id:
n/a
Agency Tracking Number:
B2-1773
Solicitation Year:
2009
Solicitation Topic Code:
MDA09-026
Solicitation Number:
2009.3
Small Business Information
5230 Carroll Canyon Road, Suite 306, San Diego, CA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
604243753
Principal Investigator:
Jeffrey Steinman
President&CEO
(858) 605-1646
steinman@warpiv.com
Business Contact:
Teresa Hernandez
Director of Operations
(858) 605-1646
teresa.hernandez@warpiv.com
Research Institution:
Stub




Abstract
Resource optimization strategies for engaging multi-stage, long-range missiles carrying multiple warheads during the ascent phase is an area of interest to MDA and the larger DoD community. The ability to rapidly predict the outcomes of extremely large numbers of decision permutations is crucial in allowing commanders make more efficient decisions in time-critical operational settings. Phase I demonstrated a faster-than-real-time engagement analysis prototype based on a recent breakthrough in modeling and simulation, known as HyperWarpSpeed. This technique enables the instantaneous spawning and exploration of multiple behavior timelines at key decision points within a single simulation run, while transparently harnessing the power of parallel and distributed processing resources. Whereas traditional Monte Carlo simulation approaches often recompute the majority of calculations during successive runs, HyperWarpSpeed shares common computations between parallel timelines resulting in execution times that are orders of magnitude faster. The ability to predict all possible outcomes of complex engagement scenarios in Phase II is crucial in allowing commanders to make better decisions in time-critical operational settings. HyperWarpSpeed enables generating, modeling, evaluating, and refining alternative courses of action for complex launch events. Its raw speed in predicting all relevant outcomes is a giant technological leap forward in providing rapid decision support capability.

* information listed above is at the time of submission.

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