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    A performance-driven fuzzy algorithm for placement of macro cells

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    Author
    Mackey, Carol Ann
    Issue Date
    1995
    Keywords
    Engineering, Electronics and Electrical.
    Artificial Intelligence.
    Computer Science.
    Advisor
    Carothers, Jo Dale
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Macro cell placement is an integral part of VLSI design. Existing placement techniques do not use a realistic human-like intuitive process for making decisions and therefore, lack the ability to make decisions based on several factors at once. In this research a quad-partitioning algorithm with a tabu search and a fuzzy cost function is used for macro cell placement. This approach partitions the design into small pieces that can be easily placed. The algorithm is based on a method which tries to reduce the path lengths and reduce the number of edges which cross out of a partition. The fuzzy cost function adds the human reasoning missing from other algorithms. The algorithm allows I/O cells to be preplaced or it can optimize their placement. The results show that this algorithm produces higher quality placements than other macro cell algorithms such as Lim, Chee and Wu and Lin and Du.
    Type
    text
    Thesis-Reproduction (electronic)
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Electrical and Computer Engineering
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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