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    Power supply partitioning for placement of built-in current sensors for IDDQ testing

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    etd-tamu-2003C-2003091615-Pras-1.pdf (311.5Kb)
    Date
    2004-09-30
    Author
    Prasad, Abhijit
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    Abstract
    IDDQ testing has been a very useful test screen for CMOS circuits. However, with each technology node the background leakage of chips is rapidly increasing. As a result it is becoming more difficult to distinguish between faulty and fault-free chips using IDDQ testing. Power supply partitioning has been proposed to increase test resolution by partitioning the power supply network, such that each partition has a relatively small defect-free IDDQ level. However, at present no practical partitioning strategy is available. The contribution of this thesis is to present a practical power supply partitioning strategy. We formulate various versions of the power supply partitioning problem that are likely to be of interest depending on the constraints of the chip design. Solutions to all the variants of the problem are presented. The basic idea behind all solutions is to abstract the power topology of the chip as a flow network. We then use flow techniques to find the min-cut of the transformed network to get solutions to our various problem formulations. Experimental results for benchmark circuits verify the feasibility of our solution methodology. The problem formulations will give complete flexibility to a test engineer to decide which factors cannot be compromised (e.g. area of BICS, test quality, etc) for a particular design and accordingly choose the appropriate problem formulation. The application of this work will be the first step in the placement of Built-In Current Sensors for IDDQ testing.
    URI
    https://hdl.handle.net/1969.1/103
    Subject
    VLSI Testing
    IDDQ
    BICS
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    • Electronic Theses, Dissertations, and Records of Study (2002– )
    Citation
    Prasad, Abhijit (2003). Power supply partitioning for placement of built-in current sensors for IDDQ testing. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /103.

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