Geospatial intelligence relies on the timely processing of large volumes of sensor data. For many applications, this means that the data can be acquired, stored, collated and delivered for processing on large workstations or even super computers far removed from the data source. However, there is a set of applications which require real-time (or near real-time) processing on mobile, often airborne, platforms — and this implies a set of constraints which drives the need for a low size, weight and power (SWaP) solution based on high performance embedded computing (HPEC) components.
The MAGIC1 Rugged Display Computer from GE Intelligent Platforms is an example of such a low-SWaP system, combining the latest Intel Corei7 processors and NVIDIA GPUs in a true rugged system. Currently running with the 384-core NVIDIA EXK107 Kepler GPU, this year will see integration with the Intel 4th generation Corei7 processor, further enhancing its processing capability.