A neural network simulator for the Connection Machine

N. Asokan, Ravi Shankar, Kishan Mehrotra, Chilukuri Mohan, Sanjay Ranka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The design, development, and performance of CM-RCS, a neural network simulator for the Connection Machine (CM), are described. The design of the simulator is based on the Rochester Connectionist Simulator (RCS) for connectionist networks. The CM-RCS can be used as a stand-alone system or as a high-performance parallel back end to RCS. In the latter case, once the network has been built by RCS, the back-end system constructs and executes an equivalent network on the CM processor array. The CM-RCS facilitates the exploitation of the massive parallelism inherent in connectionist networks. It also enables substantial reduction in the training times of connectionist networks.

Original languageEnglish (US)
Title of host publicationProc 5 IEEE Int Symp Intell Control 90
PublisherIEEE Computer Society
Pages518-523
Number of pages6
ISBN (Print)0818621087
StatePublished - Dec 1 1990
EventProceedings of the 5th IEEE International Symposium on Intelligent Control 1990 - Philadelphia, PA, USA
Duration: Sep 5 1990Sep 7 1990

Publication series

NameProc 5 IEEE Int Symp Intell Control 90

Other

OtherProceedings of the 5th IEEE International Symposium on Intelligent Control 1990
CityPhiladelphia, PA, USA
Period9/5/909/7/90

ASJC Scopus subject areas

  • Engineering(all)

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