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|Title:||Performance improvement of a genetic algorithm for floorplanning with parallel computing technology||Authors:||Foo, Han Yang
Kuh, Ernest S.
|Issue Date:||1997||Citation:||Foo, Han Yang,Esbensen, Henrik,Song, Jianjian,Zhuang, Wenjun,Kuh, Ernest S. (1997). Performance improvement of a genetic algorithm for floorplanning with parallel computing technology. Proceedings - IEEE International Symposium on Circuits and Systems 3 : 1544-1547. ScholarBank@NUS Repository.||Abstract:||This paper presents a parallel implementation of a genetic algorithm for floorplanning. It discusses the strategy and implementation and proposes a Multi-Selection-Multi-Evolution (MSME) parallelization scheme. The initial experimental results on a 12-node IBM SP2 scalable parallel computer have shown that the scheme is effective in improving performance of floorplanning over that of a serial implementation. The parallel version could obtain better results with more than 80% of probability and the improvements on chip area and maximum path delay could be more than 20% in the best cases.||Source Title:||Proceedings - IEEE International Symposium on Circuits and Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/113241||ISSN:||02714310|
|Appears in Collections:||Staff Publications|
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