Energy-Efficient Reliable HZO FeFET Computation-in-Memory with Local Multiply & Global Accumulate Array for Source-Follower & Charge-Sharing Voltage Sensing | IEEE Conference Publication | IEEE Xplore

Energy-Efficient Reliable HZO FeFET Computation-in-Memory with Local Multiply & Global Accumulate Array for Source-Follower & Charge-Sharing Voltage Sensing


Abstract:

Energy efficient, high throughput, noise immune, high density HZO FeFET Computation-in-Memory (CiM) is proposed. Local Multiply & Global Accumulate Array is realized by s...Show More

Abstract:

Energy efficient, high throughput, noise immune, high density HZO FeFET Computation-in-Memory (CiM) is proposed. Local Multiply & Global Accumulate Array is realized by source-follower read, which multiplies neural network inputs and weights (FeFET VTH), and charge-sharing, which accumulates multiplied values. Proposed CiM is immune to read-disturb. After 10-year data-retention, 3 bit/cell FeFET is feasible. ×64 energy efficient, 66 TOPS/W, reliable multiply-accumulate (MAC) operation is achieved.
Date of Conference: 13-19 June 2021
Date Added to IEEE Xplore: 28 July 2021
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Conference Location: Kyoto, Japan

Funding Agency:

Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan

Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan
Dept. of Electrical Engineering and Information Systems, The University of Tokyo, Japan

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