ICMS: an intelligent cell memory system for real-time engineering applications

Authors:
K. F. Wong;G. G. Coghill;J. M. Hannah
Affiliations:
Department of Electrical Engineering, Edinburgh University, The King's Buildings, Mayfield Road, Edinburgh, EH9 3JL, Scotland;Department of Electrical Engineering, Edinburgh University, The King's Buildings, Mayfield Road, Edinburgh, EH9 3JL, Scotland;Department of Electrical Engineering, Edinburgh University, The King's Buildings, Mayfield Road, Edinburgh, EH9 3JL, Scotland
Venue:
Proceedings of the 1986 ACM SIGSMALL/PC symposium on Small systems
Year:
1986

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Abstract

There is a growing interest in the application of Artificial Intelligence (AI) techniques in engineering. Existing AI systems are not suitable for many applications because of their unacceptable real-time response and complexity. An intelligent cell memory system (ICMS) is proposed which is capable of providing improved real-time performance. A prototype implementation of ICMS using dedicated bit-slice processors which perform parallel garbage collection with bounded separation time is described. The system uses an optimised implementation of Baker's algorithm to give high speed performance. It is easy-to-use, flexible, portable and suitable for engineering applications where fast response time is required.