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SNAP: a market-propagation architecture for knowledge processing

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3 Author(s)
Moldovan, D. ; Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA ; Lee, W. ; Lin, C.

The semantic network array processor (SNAP), a highly parallel architecture targeted to artificial intelligence applications, and in particular natural language understanding, is presented. The knowledge is represented in a form of the semantic network. The knowledge base is distributed among the elements of the SNAP array, and the processing is performed locally where the knowledge is stored. A set of powerful instructions specific to knowledge processing is implemented directly in hardware. SNAP is packaged into 256 custom-designed chips assembled on four printed circuit boards and can store a 16 K node semantic network. SNAP is a marker propagation architecture in which the movement of markers between cells is controlled by propagation rules. Various reasoning mechanisms are implemented with these marker propagation rules

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:3 ,  Issue: 4 )