MAGIC: A Wear-leveling Circuitry to Mitigate Aging Effects in Sense Amplifiers of SRAMs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Many embedded systems such as automotive and industrial Micro-Controller Units (MCUs) use on-chip SRAM as main data memory of the embedded processor. However, SRAMs are increasingly susceptible to reliability threats such as Bias Temperature Instability (BTI) due to the continuous trend of technology shrinking. BTI leads to a significant performance degradation, especially in the Sense Amplifiers (SAs) of SRAMs, where failures are fatal, since the data of a whole column is destroyed. As countermeasure, usually guardbands are added to the design to prevent failures of the embedded system before its end of life. In this paper we present the Mitigation of AGIng Circuitry (MAGIC), a low-cost circuitry to effectively mitigate aging in SAs by wear-leveling. The circuitry consists of an array of XOR gates and a counter. MAGIC modifies the mapping of SRAM banks to physical addresses. Updating the counter value distributes the stress of highly used addresses, e.g., corresponding to program stack data, onto the complete SRAM array. We evaluate the wear-out for on-chip SRAM data memory loads of a typical embedded application. MAGIC mitigates SA degradation up to 50% for three years of aging while introducing minimal area/performance overhead.

Original languageEnglish
Title of host publication17th IEEE International New Circuits and Systems Conference, NEWCAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728110318
DOIs
StatePublished - Jun 2019
Event17th IEEE International New Circuits and Systems Conference, NEWCAS 2019 - Munich, Germany
Duration: 23 Jun 201926 Jun 2019

Publication series

Name17th IEEE International New Circuits and Systems Conference, NEWCAS 2019

Conference

Conference17th IEEE International New Circuits and Systems Conference, NEWCAS 2019
Country/TerritoryGermany
CityMunich
Period23/06/1926/06/19

Keywords

  • Aging Mitigation
  • Application-Aware Aging Analysis
  • SRAM
  • Sense Amplifier
  • Wear-Leveling

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