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This paper describes the design and implementation of an application-specific digital architecture aimed at performing the mining of fuzzy databases, a task whose computational weight is very high. The system described here is an array-processor architecture in which the database is split into several units that apply the same operations to different data stored in local memories at the same time. A chip set implementing the architecture has been built using a semicustom approach and it is fully functional. The sustained memory bandwidth of a system featuring 16 units is 5,120 Mbits/s and provides a speedup of 500 times over the software algorithm running on a Sun Sparc2 workstation.
fuzzy coprocessor, database retrieval
Roberto Guerrieri, Giorgio Baccarani, Alberto Ferrari, Antonella Bellettini, "An ASIC Chip Set for Parallel Fuzzy Database Mining", IEEE Micro, vol. 16, no. , pp. 60-67, December 1996, doi:10.1109/40.546566
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