Automatic nonlinear memory power modelling

Author

Schmidt, Eike ; Jochens, Gerd ; Kruse, L. ; Theeuwen, Frans ; Nebel, Wolfgang

Author_Institution

OFFIS Res. Inst., Oldenburg, Germany

fYear

2001

fDate

2001

Firstpage

808

Abstract

Power estimation and optimization is an increasingly important issue in IC design. The memory subsystem is a significant aspect, since memory power can dominate total system power. Estimation and optimization hence rely heavily on models for embedded memories. We present an effective black box modelling methology for generating nonlinear memory models automatically. The resulting models are accurate, computationally modest, and in analytical form. They outperform linear models by far. Average absolute relative errors are below 6%

Keywords

circuit optimisation; circuit simulation; integrated circuit design; integrated memory circuits; nonlinear network analysis; power consumption; HSROM; IC design; LPROM; SRAM; absolute relative errors; black box modelling; embedded memories; memory power; memory subsystem; nonlinear memory models; optimization; power estimation; Design optimization; Input variables; Iterative methods; Linear regression; Mean square error methods; Notice of Violation; Power system modeling; Random access memory; Vectors; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Design, Automation and Test in Europe, 2001. Conference and Exhibition 2001. Proceedings

Conference_Location

Munich

ISSN

1530-1591

Print_ISBN

0-7695-0993-2

Type

conf

DOI

10.1109/DATE.2001.915135

Filename

915135