Computing-in-memory using voltage-controlled spin-orbit torque based MRAM array

Sonal Shreya, Alkesh Jain, Brajesh Kumar Kaushik

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

The Computing-in-Memory (CiM) is one of the best solutions to overcome the data transferring limitation between memory and processor. Moreover, spintronics based devices such as spin-transfer torque magnetic memory (STTM) and spin-orbit torque magnetic memory (SOTM) are emerging as viable contenders for CiM applications. SOTM along with their driving CMOS counterparts show a huge reduction in area and add nonvolatility to CiM designs. In this work, energy-efficient CiM working is performed using Voltage-Controlled SOTM (V-SOTM) where logic operations are implemented within the memory array. The operational conditions and working for performing logic within the memory blocks are elaborated in detail. Further, V-SOTM based full adder (FA) for CiM is presented. Performance analysis has been carried out and compared with exiting CMOS, STTM, SOTM based FA. V-SOTM FA shows 53.98% and 2.7% reduction in logic power and data transfer energy, respectively when compared to SOTM based CiM FA. Furthermore, the VCMA voltage variations for V-SOTM FA is carried out that provide performance improvement with varying voltage pulse. Finally, the effect of parametric variations is carried out using Monte Carlo analysis.

Original languageEnglish
Article number104943
JournalMicroelectronics Journal
Volume109
ISSN0959-8324
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Computing-in-memory
  • MRAM
  • Magnetic full adder
  • SOTM
  • STTM
  • V-SOTM

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