Parametric Faults in Computing-in-Memory Applications of a 4kb Read-Decoupled 8T SRAM Array in 40nm CMOS

Hao Chiao Hong*, Chien Hung Chen, Yu Wun Chen

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

Computing-in-memory (CIM) circuits can energy-efficiently conduct the massive multiply-and-accumulate (MAC) computations required by artificial neural networks (ANNs). However, the CIM's resolution relies on a fundamental assumption of the CIM design: all memory cells output the same current to their read bitlines (RBLs) given the same read wordline voltage and stored weight bit. In practice, parametric faults due to the devices' intrinsic process variations may introduce significant errors to the MAC results. This work implements accurate test circuits with a 4kb read-decoupled 8T (RD8T) SRAM macro in 40nm CMOS to investigate the parametric faults caused by the intrinsic process variations. Our measurement results reveal the detailed spatial distribution of the RD8T cells' output currents and suggest that the CIM accuracy can be improved by calibrating the gain errors of the RBLs.

原文English
主出版物標題Proceedings - 7th IEEE International Test Conference in Asia, ITC-Asia 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350312812
DOIs
出版狀態Published - 2023
事件7th IEEE International Test Conference in Asia, ITC-Asia 2023 - Matsue, 日本
持續時間: 13 9月 202315 9月 2023

出版系列

名字Proceedings - 7th IEEE International Test Conference in Asia, ITC-Asia 2023

Conference

Conference7th IEEE International Test Conference in Asia, ITC-Asia 2023
國家/地區日本
城市Matsue
期間13/09/2315/09/23

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