The Snap-1 Parallel Ai Prototype

    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

    Share

    COinS