Optimization of EeLADA for Circuit Logic Defect Localization Using Defect Simulation

被引:0
|
作者
Yeoh, B. L. [1 ]
Goh, S. H. [1 ]
You, G. F. [1 ]
Tan, Alan [1 ]
Hao, Hu [1 ]
Chan, Y. H. [1 ]
Zhao, Lin [1 ]
Gupta, Varun [1 ]
Ma, H. H. W. T. [1 ]
Neo, S. P. [1 ]
Ang, G. B. [1 ]
Ngow, Y. T. [1 ]
Lam, Jeffrey [1 ]
Tay, C. C. [2 ]
机构
[1] GLOBALFOUNDRIES, Technol Dev Prod Test & Failure Anal, Singapore, Singapore
[2] Mentor Graph Corp, Wilsonville, OR USA
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
EeLADA has been introduced previously as a prospective alternative approach to DFT scan diagnosis for scan logic defect localization. It has the capability to reveal induced signals from laser stimulation that are relevant to the failure signature by comparing failing pins and cycles of the bad device. Multiple schemes involving different combinations for comparison are possible. Defect simulations based on cell fault injections on a multi-level logic of a real digital device circuit characterizes the different comparison schemes. The findings are used to devise an optimized methodology to determine suspected fail locations to guide physical failure analysis to reveal the defect. A successful case study substantiates the method.
引用
收藏
页码:540 / 546
页数:7
相关论文
共 50 条
  • [1] DefSim - the educational integrated circuit for defect simulation
    Pleskacz, WA
    Borejko, T
    Gugala, T
    Pizon, P
    Stopjakova, V
    2005 IEEE INTERNATIONAL CONFERENCE ON MICROELECTRONIC SYSTEMS EDUCATION, PROCEEDINGS, 2005, : 121 - 122
  • [2] Local Defect Simulation by Means of the Distributed Circuit Modelling
    Otaegi, Alona
    Cereceda, Eneko
    Fano, Vanesa
    Azkona, Nekane
    Recart, Federico
    Gutierrez, Jose Ruben
    Jimeno, Juan Carlos
    11TH INTERNATIONAL CONFERENCE ON CRYSTALLINE SILICON PHOTOVOLTAICS (SILICONPV 2021), 2022, 2487
  • [3] PLL soft functional failure analysis in advanced logic product using fault based analogue simulation and soft defect localization
    Gao, Liming
    Burmer, Christian
    MICROELECTRONICS RELIABILITY, 2008, 48 (8-9) : 1349 - 1353
  • [4] Automatic Defect Classification Using Semi-Supervised Learning With Defect Localization
    Kim, Yusung
    Lee, Jin-Seop
    Lee, Jee-Hyong
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2023, 36 (03) : 476 - 485
  • [5] A logic diagnosis methodology for improved localization and extraction of accurate defect behavior
    Desineni, R.
    Poku, O.
    Blanton, R. D.
    2006 IEEE INTERNATIONAL TEST CONFERENCE, VOLS 1 AND 2, 2006, : 377 - +
  • [6] Defect detection: Defect Classification and Localization for Additive Manufacturing using Deep Learning Method
    Han, Feng
    Liu, Sheng
    Liu, Sheng
    Zou, Jingling
    Ai, Yuan
    Xu, Chunlin
    2020 21ST INTERNATIONAL CONFERENCE ON ELECTRONIC PACKAGING TECHNOLOGY (ICEPT), 2020,
  • [7] Genetic Algorithms Applied to PCA–Residues Optimization for Defect Localization
    Tawfik Najeh
    Achraf Jabeur Telmoudi
    Lotfi Nabli
    Arabian Journal for Science and Engineering, 2015, 40 : 2123 - 2132
  • [8] Soft Defect Analysis on Advanced Logic Integrated Circuit by Dynamic Laser Stimulation
    Kim, Beomjun
    Kim, Juhyun
    Cho, Wookhyun
    Cho, Seongjun
    Won, Seokjun
    Kim, Jinsung
    2018 25TH IEEE INTERNATIONAL SYMPOSIUM ON THE PHYSICAL AND FAILURE ANALYSIS OF INTEGRATED CIRCUITS (IPFA), 2018,
  • [9] Defect diagnosis of solder joints using fuzzy logic
    Heikkinen, J
    Klapuri, H
    Saarinen, J
    Oksanen, H
    Kastepohja, A
    Urpelainen, M
    NEURAL NETWORKS FOR SIGNAL PROCESSING VI, 1996, : 502 - 509
  • [10] The optimization of in-line scanner defect sizing using a circuit's layout and critical area
    Lee, A
    Milor, L
    Lin, YT
    1997 IEEE/SEMI ADVANCED SEMICONDUCTOR MANUFACTURING CONFERENCE AND WORKSHOP - ASMC 97 PROCEEDINGS: THEME - THE QUEST FOR SEMICONDUCTOR MANUFACTURING EXCELLENCE: LEADING THE CHARGE INTO THE 21ST CENTURY, 1997, : 78 - 83