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Nonvolatile Capacitive Crossbar Array for In-Memory Computing

delete2022-02-25
delete28
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OA
AI
J
Jae Hur
L
Luo, Yuan-Chun
A
Anni Lu
T
Tzu-Han Wang
S
Shaolan Li
A
Asif Islam Khan
Shimeng Yu 封面图
Shimeng Yu (Shimeng Yu) *
DOI:10.1002/aisy.202100258delete
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摘要

摘要

En 中文
Conventional resistive crossbar array for in-memory computing suffers from high static current/power, serious IR drop, and sneak paths. In contrast, the capacitive crossbar array that harnesses transient current and charge transfer is gaining attention as it 1) only consumes dynamic power, 2) has no DC sneak paths and avoids severe IR drop (thus, selector-free), and 3) can be fabricated on top of complementary metal-oxide-semiconductor (CMOS) circuits for 3D-stacking. For the first time, ferroelectric Hf0.5Zr0.5O2 (HZO) capacitive crossbar arrays are experimentally demonstrated. Asymmetry of the HZO electrode interfaces leads to small-signal capacitance on/off ratio >110% that can achieve read-disturb-free operation. The vector matrix multiplication (VMM) experiments are conducted on the fabricated capacitive crossbar array, showing a linear weighted sum versus numbers of input or on-state weight. The array-level VMM operation could maintain weight pattern reprogramming after 1) thousands of 1 ms/3 V pulses and 2) an extrapolated 10-year retention at 85 degrees C. Array-level circuit simulation at 22 nm node shows the energy consumption of a capacitive crossbar array is 20-200x lower than the resistive crossbar array counterpart. Moreover, analog-shift-and-add circuits are designed for multibit weight summation, achieving 16.6% less area and 26.9% lower energy consumption than digital-shift-and-add circuits.
Keyword:
compute-in-memory
device reliability
ferroelectric field-effect transistors
ferroelectric random access memory
Hf0 5Zr0 5O2 (HZO)

期刊

Advanced Intelligent Systems 封面图
Advanced Intelligent Systems
IF:
6.1
论文数:
2.0K
被引数:
8.4K

机构

U
university system of georgia
学者数:
7.3W
论文数: 6.6W
被引数: 101
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