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Creators/Authors contains: "Mahmoodi, M.R."

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  1. ; ; ; (, 2019 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S))
    This paper outlines different design options and the most suitable memory devices for implementing dense vector-by-matrix multiplication operation, the key operation in neuromorphic computing. The considered approaches are evaluated by modeling system-level performance of 55-nm 4-bit mixed-signal neuromorphic inference processor running common deep learning feedforward and recurrent neural network models. 
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    Accepted Manuscript Full Text Available