Title :
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
fDate :
8/1/1993 12:00:00 AM
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;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
