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Multi-level placement for large-scale mixed-size IC designs

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3 Author(s)
Chin-Chih Chang ; Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA ; J. Cong ; Xin Yuan

In this paper we study the large-scale mixed-size placement problem where there is a significant size variation between big and small placeable objects (the ratio can be as large as 10,000). We have developed a multi-level optimization algorithm, MPG-MS, for this problem which can efficiently handle both large-scale designs and large size variations. Compared with the recently published work on large-scale mixed macro and standard cell placement benchmarks for wirelength minimization, our method can achieve 13% wirelength reduction on average with comparable runtime.

Published in:

Design Automation Conference, 2003. Proceedings of the ASP-DAC 2003. Asia and South Pacific

Date of Conference:

21-24 Jan. 2003