R. F. DeMara and D. I. Moldovan, "The SNAP-1 Parallel AI Prototype," IEEE Transactions on Parallel and Distributed Systems, Vol. 4, No. 8, August, 1993, pp. 841 - 854. 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. Complete Paper Available at: http://www.cal.ucf.edu/journal/J31_demara_moldovan-PDS.pdf