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Proceedings Paper

Miniaturized real-time processor for image sequence analysis
Author(s): William J. Jacobi; William B. Kendall; Leo A. Wadsworth
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Paper Abstract

Powerful new signal processing algorithms are now becoming available for such tasks as the detection and tracking of multiple targets via image sequence analysis. For typical real-time applications, these algorithms require throughputs on the order of hundreds to thousands of MFLOPS. In order to achieve such throughputs, it is necessary to employ parallel processing architectures, which normally require large size, weight and power consumption for their implementation. We have developed a high-performance, programmable MIMD processor called the SCC-lOO which is particularly well-suited for miniaturization using hybrid wafer-scale packaging technology. A 20-node configuration with a peak throughput in excess of 1 GFLOPS will be packaged in a three-inch cube using this approach.

Paper Details

Date Published: 1 September 1990
PDF: 7 pages
Proc. SPIE 1295, Real-Time Image Processing II, (1 September 1990); doi: 10.1117/12.21228
Show Author Affiliations
William J. Jacobi, Space Computer Corp. (United States)
William B. Kendall, Space Computer Corp. (United States)
Leo A. Wadsworth, Space Computer Corp. (United States)

Published in SPIE Proceedings Vol. 1295:
Real-Time Image Processing II
Richard D. Juday, Editor(s)

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