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Advanced Space Computing: Design and Analysis of Architectures, Networks, Systems, and Applications for Advanced Space and Aerospace
The advanced space computing (ASC) group focuses on a broad variety of research challenges in computer
engineering for systems and applications on space and aerospace platforms. Research, development, and analysis are
undertaken using both simulative and experimental methods toward high-performance embedded computing in the limited
design space for mission-critical space and airborne platforms.
Space-based radar (SBR), multi-spectral imaging, and many other
high-performance applications are creating orders of magnitude more
data than the limited-bandwidth downlinks on space and aerospace
platforms can support. As such, mission planners are demanding
advanced computing with more onboard payload processing to improve
autonomous operations and reduce the amount of data sent over
downlinks. Future platforms will also need to be inexpensive,
flexible, scalable, and able to support reduced development schedules
while saving size, weight, power, etc. Meanwhile, with the need to
meet these rigorous requirements, there is an ever-increasing push to
use COTS technologies to develop general- and multi-purpose payloads in
a cost-effective manner. This set of issues forms the basic framework
for the activities of the ASC group.
One of the key achievements of the ASC team is lead role on research for
the NASA Dependable Multiprocessor, the first
supercomputer for space. Emphases in this research include fault-tolerant computing, parallel
computing, and reconfigurable computing.
Sponsor: NASA, Honeywell
Principal Investigator: Dr. Alan D.