Circuit module design based on computing In memory

This article aims to design an SRAM circuit with in memory operation function, and proposes a multiplication operation structure, including an in memory operation storage unit and an output pre charging circuit. This structure needs to be coordinated with other modules of the circuit for in memory calculation. The memory operation unit includes a transmission unit and a 6T-SRAM cell. The 6T-SRAM cell is used for writing weights, and the transmission unit is used for performing multiplication operations between weights and input signals, and transmitting the calculation results to the output pre charging circuit. This scheme can reduce the number of transistors required for in memory computing, thereby achieving the goal of reducing circuit area.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1117/12.3033994
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

Circuit module design based on computing In memory

Xie Dong-dong, Zhang Li-jun, Chai Yongjian
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Parallel Computing and Optimization Techniques
article

Circuit module design based on computing In memory

Xie Dong-dong, Zhang Li-jun, Chai Yongjian
article en

Abstract

This article aims to design an SRAM circuit with in memory operation function, and proposes a multiplication operation structure, including an in memory operation storage unit and an output pre charging circuit. This structure needs to be coordinated with other modules of the circuit for in memory calculation. The memory operation unit includes a transmission unit and a 6T-SRAM cell. The 6T-SRAM cell is used for writing weights, and the transmission unit is used for performing multiplication operations between weights and input signals, and transmitting the calculation results to the output pre charging circuit. This scheme can reduce the number of transistors required for in memory computing, thereby achieving the goal of reducing circuit area.

Soochow University (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Parallel Computing and Optimization Techniques
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