The SNAP-1 parallel AI prototype

Author

DeMara, Ronald F. ; Moldovan, Dan I.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA

Volume

4

Issue

8

fYear

1993

fDate

8/1/1993 12:00:00 AM

Firstpage

841

Lastpage

854

Abstract

The Semantic Network Array Processor (SNAP) is a parallel architecture for knowledge representation and reasoning that uses 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

Keywords

inference mechanisms; natural languages; parallel architectures; parallel machines; semantic networks; special purpose computers; speech analysis and processing; SNAP-1 parallel AI prototype; Semantic Network Array Processor; dedicated communication units; digital signal processors; knowledge representation; marker-propagation paradigm; multiported memory network; multiprocessing clusters; natural language understanding; parallel architecture; reasoning; speech processing; tiered synchronization scheme; Application software; Artificial intelligence; Computer architecture; Knowledge representation; Natural languages; Parallel architectures; Parallel processing; Prototypes; Signal design; Speech processing;

fLanguage

English

Journal_Title

Parallel and Distributed Systems, IEEE Transactions on

Publisher

ieee

ISSN

1045-9219

Type

jour

DOI

10.1109/71.238620

Filename

238620