A transistor placement technique using genetic algorithm and analytical programming

被引：0
|
作者：
Lazzari, Cristiano [1 ,2 ]
Anghel, Lorena [2 ]
Reis, Ricardo A. L. [1 ]
机构：
[1] Univ Fed Rio Grande do Sul, PGMICRO, Porto Alegre, RS, Brazil
[2] Inst Natl Polytech Grenoble, TIMA Lab, F-38031 Grenoble, France
来源：
VLSI-SOC: FROM SYSTEMS TO SILICON | 2007年 / 240卷
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
New technologies present a widely range of challenges in the design of standard-cell libraries, layout generation and validation of macro-blocks. Thus, the development of new tools being able to deal with these challenges is mandatory. This work presents a transistor placement technique using genetic algorithm associated to analytical programming. The genetic algorithm is used to reduce the search space of possible solutions while analytical equations are used to find out the position of each transistor in the layout.
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页码：331 / +
页数：3
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