DocumentCode :
1655977
Title :
Maximum power supply noise estimation in VLSI circuits using multimodal genetic algorithms
Author :
Bai, Geng ; Bobba, Sudhakar ; Hajj, Ibrahim N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
3
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
1437
Abstract :
This paper presents a genetic algorithm (GA) based method for finding the maximum voltage drop in the power bus of digital VLSI circuits. The worst-case voltage drop at a specified node in the power bus is defined as the fitness value for different input-vector pairs. A gate-level simulator and a sparse linear solver are applied to compute the fitness value. A sharing technique is applied to find the global optima accurately and rapidly. Comparisons with input-independent simulations for circuits extracted from layouts are used to validate our approach
Keywords :
VLSI; circuit analysis computing; digital integrated circuits; genetic algorithms; integrated circuit noise; digital VLSI circuits; gate-level simulator; global optima; maximum power supply noise estimation; maximum voltage drop; multimodal genetic algorithms; power bus; sharing technique; sparse linear solver; worst-case voltage drop; Circuit noise; Circuit simulation; Clocks; Computational modeling; Genetic algorithms; Power supplies; Power systems; Space technology; Threshold voltage; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2001. ICECS 2001. The 8th IEEE International Conference on
Print_ISBN :
0-7803-7057-0
Type :
conf
DOI :
10.1109/ICECS.2001.957485
Filename :
957485
Link To Document :
بازگشت