Polymorphous Computer Architectures (PCA) Technology Transition to Joint Semi Automated Forces (JSAF)
Final rept. Apr 2004-Jan 2006
UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
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This effort investigated the feasibility of applying the University of North Carolinas OneSAF Objective System Graphics Processing Unit GPU algorithms to the Joint Semi Automated Forces JSAF code, and its civilian derivative, Culture. These codes are primarily used for situational understanding in the U.S. Joint Forces Commands JFCOM Urban Resolve experiments. Urban Resolve experiments include urban battle spaces, red and blue forces, a broad mix of sensor platforms, and very large numbers of civilian entities. Line-of-sight LOS and route planning calculations are both extensively used, and this effort explored the opportunity of exploiting GPUs to accelerate them. It was determined that both LOS and route planning can be significant performance bottlenecks in JSAF. They are not such bottlenecks that order-of-magnitude improvements can be hoped for. However, investigation determined that factors of two improvements in computational speed are feasible. Given the relatively low cost of GPUs when compared to commodity Linux computing systems, they would represent a cost-effective system upgrade for Joint Experimentation. As a result of this research project, JFCOM has submitted a proposal to the DoD High Performance Computing Modernization Program for a GPU-enhanced cluster.
- Computer Programming and Software
- Military Operations, Strategy and Tactics