Beast: A High-Performance Battle Engagement Area Simulator/Tracker.
Abstract
The Surveillance, Correlation, and Tracking (SCAT) problem is the computation-limited kernel of future battle management systems currently being developed, for example, under the Strategic Defense Initiative (SDI). This report shows how high-performance SCAT can be performed in this decade. Estimates suggest that an increase by a factor of at least one thousand in computational capacity will be necessary to track 10 to the 5th power SDI objects in real time. This large improvement is needed because standard algorithms for data organization in important segments of the SCAT problem scale as N to the 2nd power and N to the 3rd power, where N is the number of perceived objects. We show that the required speed-up factor can now be achieved because of two new developments: 1) A heterogeneous element supercomputer system based on available parallel processing technology can account for over one order of magnitude performance improvement today over existing supercomputers. 2) Algorithmic innovations development recently by the NRL Laboratory for Computational Physics will account for another two orders of magnitude improvement. Based on these advances, we describe a comprehensive, high performance kernel for a simulator/system to perform the SCAT portion of SDI battle management.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 31, 1986
- Accession Number
- ADA178138
Entities
People
- J. Michael Picone
- Jay Paul Boris
- Samuel G. Lambrakos
Organizations
- United States Naval Research Laboratory