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    Impact of Multi-level Clustering on Performance Driven Global Placement

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    git-cercs-03-16.pdf (531.3Kb)
    Date
    2003
    Author
    Balakrishnan, Karthik
    Nanda, Vidit
    Ekpanyapong, Mongkol
    Lim, Sung Kyu
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    Abstract
    Delay and wirelength minimization continue to be important objectives in the design of high-performance computing systems. For large-scale circuits, the clustering process becomes essential for reducing the problem size. However, to the best of our knowledge, there is no study about the impact of multi-level clustering on performance-driven global placement. In this paper, five clustering algorithms including the quasi-optimal retiming delay driven PRIME and the cutsize-driven ESC have been considered for their impact on state-of-the-art mincut based global placement. Results show that minimizing cutsize or wirelength during clustering typically results in significant performance improvements.
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    http://hdl.handle.net/1853/5934
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