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Proceedings Paper

ATCURE: heterogeneous computer architecture for real-time image information analysis
Author(s): Jeremy A. Salinger; R. Michael Hord
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Paper Abstract

ATCURE is a real-time, open, high-performance computer architecture optimized for automatically analyzing imagery for such applications as medical diagnosis, character recognition, and target cueing. ATCURE's tightly coupled heterogeneous architecture includes specialized subsystems for input/output, image processing, numeric processing, and symbolic processing. Different specialization is provided for each subsystem to exploit distinctive demands for data storage, data representation, mixes of operations, and program control structures. This paper discusses ATCURE in the context of the evolution of computer architectures, and shows that heterogeneous high-performance architecture (HHPA) computers, an emerging category of parallel processors characterized by superior cost performance, and of which ATCURE is an example, are well suited for a wide range of image information processing applications.

Paper Details

Date Published: 31 January 1995
PDF: 6 pages
Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); doi: 10.1117/12.200801
Show Author Affiliations
Jeremy A. Salinger, Environmental Research Institute of Michigan (United States)
R. Michael Hord, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 2368:
23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities
Peter J. Costianes, Editor(s)

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