TechRxiv
2022020774.pdf (1.93 MB)
Download file

First Demonstration of Ultra-High Precision 4Kb 28nm HKMG 1FeFET-1T Based Memory Array Macro for Highly Scaled Deep Learning Applications

Download (1.93 MB)
preprint
posted on 04.04.2022, 09:59 authored by Sourav DeSourav De
This paper reports high precision, highly linear MAC operation conducted on 28nm ferroelectric (Fe) FET (FeFET) based 4Kb computing-in-memory (CIM) core with 1FeFET-1T structure. The CIM-macro consists of 4 Kbit ultra-high precision FeFET based synaptic core, ADCs, and peripheral components for data processing. The crossbar array in the synaptic core was divided into 8×8 tiles for minimizing the voltage swing variations across word-line (WL), source-line (SL) and bit-line (BL). The FeFET-based macro achieved software-comparable inference accuracy for LeNET-5 and VGG-16 networks for MNIST and CIFAR-10 datasets.

Funding

This work is funded by ECSEL Joint Undertaking project TEMPO in collaboration with the European Union’s H2020 Framework Program and National Authorities, under grant agreement number 826655. We thank Globalfoundries for the provision of 28nm technology FeFET.

History

Email Address of Submitting Author

sourav.de@ipms.fraunhofer.de

Submitting Author's Institution

Fraunhofer IPMS

Submitting Author's Country

Germany

Usage metrics

Licence

Exports