RRAM-Based Single Device for Vector Multiplication and Multibit Storage With Ultrahigh Area Efficiency

Considering that Von Neumann architecture has bottlenecks in both speed and power consumption, in-memory computation is a promising solution. The in-memory computation needs to be carried out in an array composed of storage units, which can be resistive random access memory (RRAM). When using RRAMs, the data storage density can be increased by taking advantage of their multiresistive state characteristics. However, the lack of reliability is a common problem of RRAM, and it is difficult to realize high long range cyclic characteristics purely from the principle. In this work, a new 3-D device based on RRAM is proposed, which is able to realize 2-bit vector multiplication and multibit storage. Analysis and SPICE simulation are conducted to validate the feasibility. The proposed device does not need to join the write-checking process and can greatly promote the improvement of area, storage density, and operation speed, providing a new route for the future in-memory computing. Compared to traditional CMOS circuits used for vector multiplication, our proposed device can achieve 93.75% reduction in terms of number of devices.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-12-04
DOI
https://doi.org/10.1109/ted.2024.3508666
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.42

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RRAM-Based Single Device for Vector Multiplication and Multibit Storage With Ultrahigh Area Efficiency

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Advanced Memory and Neural Computing
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article

RRAM-Based Single Device for Vector Multiplication and Multibit Storage With Ultrahigh Area Efficiency

He Tian, Tian‐Ling Ren, Mengge Jin, Zhoujie Pan, Yabin Sun, Yang Shen, Jintian Gao
article en
2 citations

Abstract

Considering that Von Neumann architecture has bottlenecks in both speed and power consumption, in-memory computation is a promising solution. The in-memory computation needs to be carried out in an array composed of storage units, which can be resistive random access memory (RRAM). When using RRAMs, the data storage density can be increased by taking advantage of their multiresistive state characteristics. However, the lack of reliability is a common problem of RRAM, and it is difficult to realize high long range cyclic characteristics purely from the principle. In this work, a new 3-D device based on RRAM is proposed, which is able to realize 2-bit vector multiplication and multibit storage. Analysis and SPICE simulation are conducted to validate the feasibility. The proposed device does not need to join the write-checking process and can greatly promote the improvement of area, storage density, and operation speed, providing a new route for the future in-memory computing. Compared to traditional CMOS circuits used for vector multiplication, our proposed device can achieve 93.75% reduction in terms of number of devices.

IEEE Transactions on Electron DevicesVol. 72(1)
East China Normal University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Science and Technology Innovation Foundation of Harbin
Affordable and clean energy
Openalex Percentile: Top 36%
Advanced Memory and Neural Computing
0.42
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