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  4. An integrated-spreading-based macro-refining algorithm for large-scale mixed-size circuit designs
 
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An integrated-spreading-based macro-refining algorithm for large-scale mixed-size circuit designs

Journal
IEEE/ACM International Conference on Computer-Aided Design
Journal Volume
2017-November
Pages
496-503
Date Issued
2017
Author(s)
Chen, S.-T.
Chang, Y.-W.  
Chen, T.-C.
DOI
10.1109/ICCAD.2017.8203818
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85043537653&doi=10.1109%2fICCAD.2017.8203818&partnerID=40&md5=9691049d67c045298a0e009661ae426f
https://scholars.lib.ntu.edu.tw/handle/123456789/405630
Abstract
With the increasing use of pre-designed macros in a modern chip and its induced high design complexity, macro placement has become a challenging problem in today's design houses. Most popular macro placement algorithms adopt a three-stage approach: placement prototyping, macro placement, and standard-cell placement, where cell positions after macro placement are assumed the same as those at the prototyping stage, possibly misguiding succeeding standard-cell placement. To close the gap between macro and standard-cell placement, we propose a macro-refining algorithm that adopts an integrated spreading technique considering the spreading of both macros and cells and the dynamic information of cell positions to improve macro placement. We further propose a new force-modulation technique to refine macro placement and a congestion-aware macro shifter to preserve more space for better routability. Extensive experiments based on various macro placements show that our proposed techniques are effective and our macro-refining algorithm can find significantly better placement solutions for large-scale mixed-size circuit designs.
Type
conference paper

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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