Analog Vector-Matrix Multiplier Based on Programmable Current Mirrors for Neural Network Integrated Circuits

Analog Vector-Matrix Multiplier Based on Programmable Current Mirrors for Neural Network Integrated Circuits

We propose a CMOS Analog Vector-Matrix Multiplier for Deep Neural Networks, implemented in a standard single-poly 180 nm CMOS technology. The learning weights are stored in analog floating-gate memory cells embedded in current mirrors implementing the multiplication operations. We experimentally ver...

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Bibliographic Details
Main Authors: Maksym Paliy, Sebastiano Strangio, Piero Ruiu, Tommaso Rizzo, Giuseppe Iannaccone
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Analog neural network
CMOS
current-mirror
DNN
floating-gate
Online Access:https://ieeexplore.ieee.org/document/9252918/

Internet

https://ieeexplore.ieee.org/document/9252918/

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