Ultra-fast data-mining hardware architecture based on stochastic computing
Minimal hardware implementations able to cope with the processing of large amounts of data in reasonable times are highly desired in our information-driven society. In this work we review the application of stochastic computing to probabilistic-based pattern-recognition analysis of huge database set...
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Veröffentlicht in: | PloS one 2015-05, Vol.10 (5), p.e0124176-e0124176 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Minimal hardware implementations able to cope with the processing of large amounts of data in reasonable times are highly desired in our information-driven society. In this work we review the application of stochastic computing to probabilistic-based pattern-recognition analysis of huge database sets. The proposed technique consists in the hardware implementation of a parallel architecture implementing a similarity search of data with respect to different pre-stored categories. We design pulse-based stochastic-logic blocks to obtain an efficient pattern recognition system. The proposed architecture speeds up the screening process of huge databases by a factor of 7 when compared to a conventional digital implementation using the same hardware area. |
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ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0124176 |