STeP-CiM: Strain-Enabled Ternary Precision Computation-In-Memory Based on Non-Volatile 2D Piezoelectric Transistors

STeP-CiM: Strain-Enabled Ternary Precision Computation-In-Memory Based on Non-Volatile 2D Piezoelectric Transistors

We proposed 2D piezoelectric FET (PeFET)–based compute-enabled non-volatile memory for ternary deep neural networks (DNNs). PeFETs hinge on ferroelectricity for bit storage and piezoelectricity for bit sensing, exhibiting inherently amenable features for computation-in-memory of dot products of weig...

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Bibliographic Details
Main Authors: Niharika Thakuria, Reena Elangovan, Sandeep K. Thirumala, Anand Raghunathan, Sumeet K. Gupta
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Nanotechnology
Subjects:
deep neural network
ferroelectric
in-memory-computing
non-volatile memory
piezoelectric
ultralow precision
Online Access:https://www.frontiersin.org/articles/10.3389/fnano.2022.905407/full

Internet

https://www.frontiersin.org/articles/10.3389/fnano.2022.905407/full

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