The Impact of Analog-to-Digital Converter Architecture and Variability on Analog Neural Network Accuracy

The Impact of Analog-to-Digital Converter Architecture and Variability on Analog Neural Network Accuracy

The analog-to-digital converter (ADC) is not only a key component in analog in-memory computing (IMC) accelerators but also a bottleneck for the efficiency and accuracy of these systems. While the tradeoffs between power consumption, latency, and area in ADC design are well studied, it is relatively...

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Bibliographic Details
Main Authors: Matthew Spear, Joshua E. Kim, Christopher H. Bennett, Sapan Agarwal, Matthew J. Marinella, T. Patrick Xiao
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Subjects:
Analog computing
analog-to-digital conversion
in-memory computing (IMC)
machine learning
neural network
process variations
Online Access:https://ieeexplore.ieee.org/document/10250846/

Internet

https://ieeexplore.ieee.org/document/10250846/

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