Development of a large-scale TEG for evaluation and analysis of yield and variation

被引:24
|
作者
Yamamoto, M [1 ]
Endo, H
Masuda, H
机构
[1] Semicon Technol Acad Res Ctr, Yokohama, Kanagawa 2220033, Japan
[2] ULSI Syst Co Ltd, Tokyo 1988512, Japan
关键词
address decoder; charge up; correlation analysis; damage; electrical dimension; large scale; pattern density; periodicity; TEG; test structure; variation; wafer map; yield;
D O I
10.1109/TSM.2004.826937
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We have developed the world's first large-scale test element group (TEG) with large-scale elements that accurately evaluate SoC (system on chip)-level yield and variation. To enable quick feedback on processing, address decoders on all four sides of the chip and testing programs were also developed. The TEG has a simple structure to examine pure (i.e., not oriented to products) logic-processes, yield and variation for near-minimum DSM (deep sub-micron) design rules. We have successfully measured yield, failure mode and locations both before and after on-chip high-voltage stress. It was also demonstrated that intra-/inter-die variations in various process/device elements could be quickly diagnosed within a week. The new TEG consists of five chips designed using 130-nm CMOS technology with 100-nm physical gate lengths and five copper interconnect layers. The proposed TEG could provide a strategic standard test structure for diagnosis of SoC yield/variation, as well as a technology standard for measuring electrical dimensions and evaluating charge-up damage.
引用
收藏
页码:111 / 122
页数:12
相关论文
共 50 条
  • [1] Development of a large-scale TEG for evaluation and analysis of yield and variation
    Yamamoto, M
    Endo, H
    Masuda, H
    ICMTS 2003: PROCEEDINGS OF THE 2003 INTERNATIONAL CONFERENCE ON MICROELECTRONIC TEST STRUCTURES, 2003, : 53 - 58
  • [2] Development of a 90nm large-scale TEG for evaluation and analysis of signal integrity, yield and variation
    Yamamoto, M
    Hayasi, Y
    Endo, H
    Masuda, H
    ICMTS 2004: PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MICROELECTRONIC TEST STRUCTURES, 2004, : 99 - 104
  • [3] Analysis of NMOS and PMOS Difference in VT Variation With Large-Scale DMA-TEG
    Tsunomura, Takaaki
    Nishida, Akio
    Hiramoto, Toshiro
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2009, 56 (09) : 2073 - 2080
  • [4] Development of BEM for large-scale analysis
    Yamaji, Seiichi
    Matsuda, Hirokazu
    Tanizawa, Tadashi
    Nippon Kikai Gakkai Ronbunshu, A Hen/Transactions of the Japan Society of Mechanical Engineers, Part A, 2004, 70 (01): : 23 - 30
  • [5] A METHOD FOR LARGE-SCALE ANALYSIS OF HLA GENETIC VARIATION
    Wang, Wei
    Bolon, Yung-Tsi
    Huang, Hu
    Malmberg, Craig
    Kennedy, Caleb
    Maiers, Martin
    HUMAN IMMUNOLOGY, 2016, 77 : 66 - 66
  • [6] Variation and Covariation in Large-scale Replication Projects: An Evaluation of Replicability
    McShane, Blakeley B.
    Bockenholt, Ulf
    Hansen, Karsten T.
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2022, 117 (540) : 1605 - 1621
  • [7] DEVELOPMENT AND EVALUATION OF A LARGE-SCALE FORAGE MAT MAKER
    SAVOIE, P
    BINET, M
    CHOINIERE, G
    TREMBLAY, D
    AMYOT, A
    THERIAULT, R
    TRANSACTIONS OF THE ASAE, 1993, 36 (02): : 285 - 291
  • [8] Large-Scale Validation and Analysis of Interleaved Search Evaluation
    Chapelle, Olivier
    Joachims, Thorsten
    Radlinski, Filip
    Yue, Yisong
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2012, 30 (01)
  • [9] Random telegraph signal statistical analysis using a very large-scale array TEG with IM MOSFETs
    Abe, K.
    Sugawa, S.
    Watabe, S.
    Miyamoto, N.
    Teramoto, A.
    Kamata, Y.
    Shibusawa, K.
    Toita, M.
    Ohmi, I.
    2007 SYMPOSIUM ON VLSI TECHNOLOGY, DIGEST OF TECHNICAL PAPERS, 2007, : 210 - +
  • [10] Development of a novel nannochloropsis strain with enhanced violaxanthin yield for large-scale production
    Park, Su-Bin
    Yun, Jin-Ho
    Ryu, Ae Jin
    Yun, Joohyun
    Kim, Ji Won
    Lee, Sujin
    Choi, Saehae
    Cho, Dae-Hyun
    Choi, Dong-Yun
    Lee, Yong Jae
    Kim, Hee-Sik
    MICROBIAL CELL FACTORIES, 2021, 20 (01)