PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation

Shaahin Angizi, Zhezhi He, Deliang Fan

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

14 Scopus citations

Abstract

In this paper, we propose PIMA-Logic, as a novel Processing-in-Memory Architecture for highly flexible and efficient Logic computation. Instead of integrating complex logic units in cost-sensitive memory, PIMA-Logic exploits a hardware-friendly approach to implement Boolean logic functions between operands either located in the same row or the same column within entire memory arrays. Furthermore, it can efficiently process more complex logic functions between multiple operands to further reduce the latency and power-hungry data movement. The proposed architecture is developed based on Spin Orbit Torque Magnetic Random Access Memory (SOT-MRAM) array and it can simultaneously work as a non-volatile memory and a reconfigurable in-memory logic. The device-to-architecture co-simulation results show that PIMA-Logic can achieve up to 56% and 31.6% improvements with respect to overall energy and delay on combinational logic benchmarks compared to recent Pinatubo architecture. We further implement an in-memory data encryption engine based on PIMA-Logic as a case study. With AES application, it shows 77.2% and 21% lower energy consumption compared to CMOS-ASIC and recent RIMPA implementation, respectively.

Original languageEnglish (US)
Title of host publicationProceedings of the 55th Annual Design Automation Conference, DAC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781450357005
DOIs
StatePublished - Jun 24 2018
Externally publishedYes
Event55th Annual Design Automation Conference, DAC 2018 - San Francisco, United States
Duration: Jun 24 2018Jun 29 2018

Publication series

NameProceedings - Design Automation Conference
VolumePart F137710
ISSN (Print)0738-100X

Other

Other55th Annual Design Automation Conference, DAC 2018
CountryUnited States
CitySan Francisco
Period6/24/186/29/18

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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