FeFET-based low-power bitwise logic-in-memory with direct write-back and data-Adaptive dynamic sensing interface

Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Compute-in-memory (CiM) is a promising method for mitigating the memory wall problem in data-intensive applications. The proposed bitwise logic-in-memory (BLiM) is targeted at data intensive applications, such as database, data encryption. This work proposes a low-power BLiM approach using the emerging nonvolatile ferroelectric FETs with direct write-back and data-Adaptive dynamic sensing interface. Apart from general-purpose random-Access memory, it also supports BLiM operations such as copy, not, nand, xor, and full adder (FA). The novel features of the proposed architecture include: (i) direct result-write-back based on the remnant bitline BLiM charge that avoids bitline sensing and charging operations; (ii) a fully dynamic sensing interface that needs no static reference current, but adopts data-Adaptive voltage references for certain multi-operand operations, and (iii) selective bitline charging from wordline (instead of pre-charging all bitlines) to save power and also enable direct write-back. Detailed BLiM operations and benchmarking against conventional approaches show the promise of low-power computing with the FeFET-based circuit techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450370530
DOIs
StatePublished - Aug 10 2020
Event2020 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2020 - Virtual, Online, United States
Duration: Aug 10 2020Aug 12 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2020 ACM/IEEE International Symposium on Low Power Electronics and Design, ISLPED 2020
Country/TerritoryUnited States
CityVirtual, Online
Period8/10/208/12/20

Keywords

  • FeFET
  • bitwise logic-in-memory
  • compute-in-memory
  • embedded memory
  • memory wall
  • nonvolatile memory

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'FeFET-based low-power bitwise logic-in-memory with direct write-back and data-Adaptive dynamic sensing interface'. Together they form a unique fingerprint.

Cite this