Title

The Snap-1 Parallel Ai Prototype

Authors

Authors

R. F. Demara;D. I. Moldovan

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Parallel Distrib. Syst.

Keywords

Artificial Intelligence; Barrier Synchronization; Marker-Propagation; Multiport Memory; Parallel Processing; Natural Language Understanding; Simd/Mimd Architectures; Computer Science, Theory & Methods; Engineering, Electrical & Electronic

Abstract

Semantic Network Array Processor (SNAP) is a parallel architecture for knowledge representation and reasoning using the marker-propagation paradigm. The primary application areas of SNAP are Natural Language Understanding and Speech Processing. A first-generation SNAP-1 system has been designed and constructed using an array of 144 Digital Signal Processors organized as 32 multiprocessing clusters with dedicated communication units, a tiered synchronization scheme, and multiported memory network. Issues in the design, performance, and scalability of a marker-propagation architecture are addressed.

Journal Title

Ieee Transactions on Parallel and Distributed Systems

Volume

4

Issue/Number

8

Publication Date

1-1-1993

Document Type

Article

Language

English

First Page

841

Last Page

854

WOS Identifier

WOS:A1993ME61100001

ISSN

1045-9219

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