Please use this identifier to cite or link to this item:
|Title:||Performance improvement of a genetic algorithm for floorplanning with parallel computing technology|
|Authors:||Foo, Han Yang|
Kuh, Ernest S.
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.