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Bi-Directional and Operand-Controllable In-Memory Computing for Boolean Logic and Search Operations with Row and Column Directional SRAM (RC-SRAM).
Xiao, Han; Zhao, Ruiyong; Liu, Yulan; Liu, Yuanzhen; Chen, Jing.
Afiliação
  • Xiao H; Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200031, China.
  • Zhao R; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Liu Y; Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200031, China.
  • Liu Y; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Chen J; Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200031, China.
Micromachines (Basel) ; 15(8)2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39203707
ABSTRACT
The von Neumann architecture is no longer sufficient for handling large-scale data. In-memory computing has emerged as the potent method for breaking through the memory bottleneck. A new 10T SRAM bitcell with row and column control lines called RC-SRAM is proposed in this article. The architecture based on RC-SRAM can achieve bi-directional and operand-controllable logic-in-memory and search operations through different signal configurations, which can comprehensively respond to various occasions and needs. Moreover, we propose threshold-controlled logic gates for sensing, which effectively reduces the circuit area and improves accuracy. We validate the RC-SRAM with a 28 nm CMOS technology, and the results show that the circuits are not only full featured and flexible for customization but also have a significant increase in the working frequency. At VDD = 0.9 V and T = 25 °C, the bi-directional search frequency is up to 775 MHz and 567 MHz, and the speeds for row and column Boolean logic reach 759 MHz and 683 MHz.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article