Title

The Snap-1 Parallel Ai Prototype

Keywords

Artificial intelligence; barrier synchronization; marker-propagation; multiport memory; natural language understanding; parallel processing; SIMD/MIMD architectures

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. © 1993 IEEE

Publication Date

1-1-1993

Publication Title

IEEE Transactions on Parallel and Distributed Systems

Volume

4

Issue

8

Number of Pages

841-854

Document Type

Article

Identifier

scopus

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/71.238620

Socpus ID

0027644284 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0027644284

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