Paper
31 January 1995 ATCURE: heterogeneous computer architecture for real-time image information analysis
Jeremy A. Salinger, R. Michael Hord
Author Affiliations +
Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995) https://doi.org/10.1117/12.200801
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeremy A. Salinger and R. Michael Hord "ATCURE: heterogeneous computer architecture for real-time image information analysis", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); https://doi.org/10.1117/12.200801
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KEYWORDS
Image processing

Computer architecture

Image analysis

Signal processing

Data storage

Computing systems

Automatic target recognition

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