Presentation 2007-01-17
A Parallel Algorithm Based on Genetic Algorithm and Tabu Search for LSI Floorplanning and Its Implementation on a PC Cluster
Takayoshi SHIMAZU, Shin'ichi WAKABAYASHI, Shinobu NAGAYAMA,
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Abstract(in English) This paper proposes a parallel floorplanning algorithm for VLSI floorplanning, which was based on genetic algorithm (GA) and tabu search (TS). The proposed method consists of three phases. In the first phase, solutions were globally searched by GA on each PC independently. In the second pahse, from good solutions found in the first phase, further search was performed based on GA in each PC, with interchanging solutions among PCs. In the last phase, TS was executed in each PC to improve the best solutions found in the second phase to get a final solution. The proposed method was implemented with the MPI (Message Passing Interface) library on a PC cluster. Experimental results show the effectiveness of the proposed method.
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Keyword(in English) genetic algorithm / tabu search / LSI floorplanning / parallel algorithm
Paper # VLD2006-90,CPSY2006-61,RECONF2006-61
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Committee RECONF
Conference Date 2007/1/10(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Parallel Algorithm Based on Genetic Algorithm and Tabu Search for LSI Floorplanning and Its Implementation on a PC Cluster
Sub Title (in English)
Keyword(1) genetic algorithm
Keyword(2) tabu search
Keyword(3) LSI floorplanning
Keyword(4) parallel algorithm
1st Author's Name Takayoshi SHIMAZU
1st Author's Affiliation Faculty of Information Sciences, Hiroshima City University()
2nd Author's Name Shin'ichi WAKABAYASHI
2nd Author's Affiliation Faculty of Information Sciences, Hiroshima City University
3rd Author's Name Shinobu NAGAYAMA
3rd Author's Affiliation Faculty of Information Sciences, Hiroshima City University
Date 2007-01-17
Paper # VLD2006-90,CPSY2006-61,RECONF2006-61
Volume (vol) vol.106
Number (no) 457
Page pp.pp.-
#Pages 6
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