Achieving Crash Consistency by Employing Persistent L1 Cache

Akshay Krishna Ramanathan, Sara Mahdizadeh Shahri, Yi Xiao, Vijaykrishnan Narayanan

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

1 Scopus citations

Abstract

Emerging non-volatile memory technologies promise the opportunity for maintaining persistent data in memory. How-ever, providing crash-consistency in such systems can be costly as any update to the persistent data has to reach the persistent domain in a specific order, imposing high overhead. Prior works, proposed solutions both in software (SW) and hardware (HW) to address this problem but fall short to remove this overhead completely. In this work, we propose Non-Volatile Cache (NVC) architecture design that employs a hybrid volatile, non-volatile memory cell employing monolithic 3D and Ferroelectric technol-ogy in Ll data cache to guarantee crash consistency with almost no performance overhead. We show that NVC achieves up to 5.1x speedup over state-of-the-art (SOTA) SW undo logging and 11% improvement over SOTA HW solution without yielding the conventional architecture, while incurring 7% hardware overhead.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
EditorsCristiana Bolchini, Ingrid Verbauwhede, Ioana Vatajelu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1407-1412
Number of pages6
ISBN (Electronic)9783981926361
DOIs
StatePublished - 2022
Event2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 - Virtual, Online, Belgium
Duration: Mar 14 2022Mar 23 2022

Publication series

NameProceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022

Conference

Conference2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Country/TerritoryBelgium
CityVirtual, Online
Period3/14/223/23/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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