The DoD has become increasingly reliant on intelligence, surveillance and reconnaissance (ISR) applications. With the advent of expanded ISR capabilities, there is a pressing need to dramatically expand the real-time processing of wide-area, high-resolution video imagery, especially for target recognition and tracking a large number of objects. Not only is the volume of sensor data increasing exponentially, there is also a dramatic increase in the complexity of analysis, reflected in the number of operations per pixel per second. These expanding processing requirements for ISR missions, as well as other DoD sensor applications, are quickly outpacing the capabilities of existing and projected computing platforms.
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