• DocumentCode
    703875
  • Title

    Temperature-aware software-based self-testing for delay faults

  • Author

    Ying Zhang ; Zebo Peng ; Jianhui Jiang ; Huawei Li ; Fujita, Masamro

  • Author_Institution
    Sch. of Software Eng., Tongji Univ., Shanghai, China
  • fYear
    2015
  • fDate
    9-13 March 2015
  • Firstpage
    423
  • Lastpage
    428
  • Abstract
    Delay defects under high temperature have been one of the most critical factors to affect the reliability of computer systems, and the current test methods don´t address this problem properly. In this paper, a temperature-aware software-based self-testing (SBST) technique is proposed to self-heat the processors within a high temperature range and effectively test delay faults under high temperature. First, it automatically generates high-quality test programs through automatic test instruction generation (ATIG), and avoids over-testing caused by nonfunctional patterns. Second, it exploits two effective powerintensive program transformations to self-heat up the processors internally. Third, it applies a greedy algorithm to search the optimized schedule of the test templates in order to generate the test program while making sure that the temperature of the processor under test is within the specified range. Experimental results show that the generated program is successful to guarantee delay test within the given temperature range, and achieves high test performance with functional patterns.
  • Keywords
    automatic test pattern generation; fault diagnosis; greedy algorithms; reliability; ATIG; SBST technique; automatic test instruction generation; computer systems; delay faults; greedy algorithm; high-quality test program; power-intensive program transformation; reliability; temperature-aware software-based self-testing; Circuit faults; Delays; Power dissipation; Program processors; Schedules; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
  • Conference_Location
    Grenoble
  • Print_ISBN
    978-3-9815-3704-8
  • Type

    conf

  • Filename
    7092427