A Software-Circuit-Device Co-Optimization Framework for Neuromorphic Inference Circuits

A Software-Circuit-Device Co-Optimization Framework for Neuromorphic Inference Circuits

Neuromorphic circuits, which usually use analog computation for vector-matrix multiplication (VMM) in neural networks (NN), are promising machine learning accelerators with much lower latency and power consumption than digital ones. Analog computation is expected to have a more efficient design spac...

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Bibliographic Details
Main Authors: Paul Quibuyen, Tom Jiao, Hiu Yung Wong
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Device-technology co-optimization (DTCO)
emerging memory
neural network
neuromorphic computation
ReRAM
SPICE simulation
Online Access:https://ieeexplore.ieee.org/document/9758702/

Internet

https://ieeexplore.ieee.org/document/9758702/

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