Optimization of Experimental Designs for System- Level Accelerated Life Test in a Memory System Degraded by Time-Dependent Dielectric Breakdown

Dae Hyun Kim, Shu Han Hsu, Linda Milor

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Continuous memory technology scaling causes memory cells to be vulnerable to wearout. To ensure reliable operations of circuits and systems in the presence of wearout, we require accurate estimation of the lifetime of circuits and systems degraded by wearout. Since the conventional method of estimating circuit and system reliability degradation based on device-level accelerated life test (ALT) does not account for the tolerance of a circuit and a system to a wearout failure of a device, accelerated lifetime testing at the circuit and system level is necessary. For accurate estimation of system reliability using system-level ALT, we propose a method that optimizes the design of experiments for ALT. From significant observations from failure data statistics of system-level ALT with various stress conditions applied to the memory system of the Leon3 as a case study, we define acceptability regions for memory testing of each wearout mechanism. In addition, by analyzing errors in estimating Weibull parameters from system-level ALT, we develop a methodology that optimizes experimental designs in acceptability regions of each wearout mechanism to minimize such estimation errors in system-level ALT.

Original languageEnglish
Article number8703762
Pages (from-to)1640-1651
Number of pages12
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume27
Issue number7
DOIs
Publication statusPublished - 2019 Jul

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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