NBPE: Neural network based power estimation simulator for specification design

Author

Hou, Ligang ; Peng, Xiaohong ; Geng, Shuqin ; Wang, Jinhui ; Wu, Wuchen

Author_Institution

VLSI &Syst. Lab., Beijing Univ. of Technol., Beijing, China

fYear

2010

fDate

7-9 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

This paper forwards a neural network based VLSI power estimation Simulator (NBPE) for VLSI specification design with a graphical user interface developed. The user can enter parameters from VLSI specification such as IO number, frequency, flash depth and parameters on neural network structure such as layer number, learning algorithm etc. This simulator then estimate VLSI´s power based on given information. Power estimation results can be used to adjust VLSI specification design before further implementation. Available as an executable code, the simulator can run on various platforms.

Keywords

VLSI; circuit simulation; graphical user interfaces; integrated circuit design; neural nets; VLSI power estimation simulator; VLSI specification design; graphical user interface; learning algorithm; neural network based power estimation simulator; neural network structure; Artificial neural networks; Estimation; Integrated circuit modeling; Simulation; Testing; Training; Very large scale integration; VLSI; neural network; power estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Design of Advanced Packaging & Systems Symposium (EDAPS), 2010 IEEE

Conference_Location

Singapore

ISSN

2151-1225

Print_ISBN

978-1-4244-9068-4

Electronic_ISBN

2151-1225

Type

conf

DOI

10.1109/EDAPS.2010.5683004

Filename

5683004