An Computing-in-Memory SAD Architecture Capable of Realizing High-Precision Computing

This paper describes a computing in memory array based on 10T SRAM cells for realizing the subtraction operation of 8bit inputs with 8bit weights in SAD operations, and it is able to achieve high discharge linearity by improving its discharge and high and low-bit merging methods for 10T SRAM arrays. The design and simulation of the memory array part of this architecture is carried out in 110nm CMOS process with a supply voltage of 1.2 V. The simulation results show that the memory array has good linearity of 99.66%, which is conducive to the realization of high-precision SAD operations in the subsequent CIM system.

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Published
2024-10-25
DOI
https://doi.org/10.1109/icicm63644.2024.10814464
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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An Computing-in-Memory SAD Architecture Capable of Realizing High-Precision Computing

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Parallel Computing and Optimization Techniques
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An Computing-in-Memory SAD Architecture Capable of Realizing High-Precision Computing

Miaomiao Cao, Hejiu Zhang, Yaoyao Ge, Nan Lv, Mingxin Wu, Ningmei Yu
article en

Abstract

This paper describes a computing in memory array based on 10T SRAM cells for realizing the subtraction operation of 8bit inputs with 8bit weights in SAD operations, and it is able to achieve high discharge linearity by improving its discharge and high and low-bit merging methods for 10T SRAM arrays. The design and simulation of the memory array part of this architecture is carried out in 110nm CMOS process with a supply voltage of 1.2 V. The simulation results show that the memory array has good linearity of 99.66%, which is conducive to the realization of high-precision SAD operations in the subsequent CIM system.

Xi'an University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 74%
Parallel Computing and Optimization Techniques
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