A knowledge representation based parallel architecture for rule-based simulation applications

Author

Karne, Ramesh K. ; Sood, Arun K.

Author_Institution

IBM Corp., Gaithersburg, MD, USA

fYear

1991

fDate

13-16 Oct 1991

Firstpage

1895

Abstract

The authors propose a knowledge-representation-based parallel architecture for rule-based simulation applications. This architecture yields very high speedup and exploits inherent data parallelism that is present in the application. In addition, the proposed architecture also avoids the semantic gap that exists between an application and its implementation. Several hardware rule-based simulation applications with functionality were implemented on the Intel iPSC/2 hypercube. Two example applications with the experimental results are provided to demonstrate the approach

Keywords

digital simulation; hypercube networks; knowledge based systems; knowledge representation; parallel architectures; Intel iPSC/2 hypercube; inherent data parallelism; knowledge representation; parallel architecture; rule-based simulation; Application software; Artificial intelligence; Computational modeling; Computer architecture; Computer simulation; Hardware; Hypercubes; Knowledge based systems; Knowledge representation; Parallel architectures;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on

Conference_Location

Charlottesville, VA

Print_ISBN

0-7803-0233-8

Type

conf

DOI

10.1109/ICSMC.1991.169961

Filename

169961