A high-speed analog neural processor

P. Masa, Peter Masa, Klaas Hoen, Klaas Hoen, Hans Wallinga

    Research output: Contribution to journalArticleAcademicpeer-review

    16 Citations (Scopus)
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    Targeted at high-energy physics research applications, our special-purpose analog neural processor can classify up to 70 dimensional vectors within 50 nanoseconds. The decision-making process of the implemented feedforward neural network enables this type of computation to tolerate weight discretization, synapse nonlinearity, noise, and other non-ideal effects. Although our prototype does not take advantage of advanced CMOS technology, and was fabricated using a 2.5-μm CMOS process, it performs 6 billion multiplications per second, with only 2 W dissipation, and has as high as 1.5 Gbyte/s equivalent bandwidth.
    Original languageEnglish
    Pages (from-to)40-50
    JournalIEEE micro
    Issue number3
    Publication statusPublished - 1994


    • METIS-112055
    • IR-15181


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