PARKA: parallel knowledge representation on the Connection Machine
PARKA: parallel knowledge representation on the Connection Machine
Modeling semantic networks on the Connection Machine
Journal of Parallel and Distributed Computing - Special issue on parallel I/O systems
Integrating Marker Passing and Problem Solving: A Spreading Activation Approach to Improved Choice in Planning
USC: description of the SNAP system used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
Parallel Natural Language Processing on a Semantic Network Array Processor
IEEE Transactions on Knowledge and Data Engineering
Applying Parallel Processing to Natural-Language Processing
IEEE Expert: Intelligent Systems and Their Applications
Distributed Path-Based Inference in Semantic Networks
The Journal of Supercomputing
Toward cooperative genomic knowledge inference
Parallel Computing - Special issue: High-performance parallel bio-computing
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The Semantic Network Array Processor (SNAP) is a parallel architecture for knowledgerepresentation and reasoning that uses the marker-propagation paradigm. The primaryapplication areas of SNAP are natural language understanding and speech processing. Afirst-generation SNAP-1 system has been designed and constructed using an array of 144digital signal processors organized as 32 multiprocessing clusters with dedicatedcommunication units, a tiered synchronization scheme, and multiported memory network.Issues in the design, performance, and scalability of a marker-propagation architectureare addressed.