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A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
Published 10 Dec 2020 in cs.AR, cs.ET, cs.LG, and cs.NE | (2012.05419v2)
Abstract: A set of highly-optimized custom macro extensions is developed for a 7nm CMOS cell library for implementing Temporal Neural Networks (TNNs) that can mimic brain-like sensory processing with extreme energy efficiency. A TNN prototype (13,750 neurons and 315,000 synapses) for MNIST requires only 1.56mm2 die area and consumes only 1.69mW.
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