A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
arXiv:2012.05419
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.
This work is dated and will be superseded by a forthcoming work