Issue No.06 - December (1996 vol.16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/40.546566
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
Antonella Bellettini, Alberto Ferrari, Giorgio Baccarani, "An ASIC Chip Set for Parallel Fuzzy Database Mining", IEEE Micro, vol.16, no. 6, pp. 60-67, December 1996, doi:10.1109/40.546566