Empirical Study of Block Placement by Cluster Refinement | Zendy

Jin Xu | Zendy; Pei-Ning Guo | Zendy; ChungKuan Cheng | Zendy

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Empirical Study of Block Placement by Cluster Refinement

Author(s) -

Jin Xu,

Pei-Ning Guo,

ChungKuan Cheng

Publication year - 1998

Publication title -

vlsi design

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.123

H-Index - 24

eISSN - 1065-514X

pISSN - 1026-7123

DOI - 10.1155/1999/89835

Subject(s) - benchmark (surveying) , block (permutation group theory) , computer science , cluster (spacecraft) , macro , parallel computing , electronic circuit , algorithm , computer engineering , theoretical computer science , mathematics , engineering , computer network , electrical engineering , programming language , geometry , geodesy , geography

In this paper we propose an efficient cluster refinement approach for macro-cell placement.The algorithm selects a cluster of blocks dynamically, and finds an optimal solutionfor all the blocks in the cluster simultaneously. This is different from previous zone refinementapproach which optimizes the allocation of one single block in each operation.Experimental results on the MCNC benchmark circuits show that the approach achievesexcellent area utilization while minimizing the wire length at the same time

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