Cart (Loading....) | Create Account
Close category search window
 

Cosimulation-based power estimation for system-on-chip design

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Lajolo, M. ; C&C Res. Labs., NEC, Princeton, NJ, USA ; Raghunathan, A. ; Dey, S. ; Lavagno, L.

We present efficient power estimation techniques for hardware-software (HW-SW) system-on-chip (SoC) designs. Our techniques are based on concurrent and synchronized execution of multiple power estimators that analyze different parts of the SoC (we refer to this as coestimation), driven by a system-level simulation master. We motivate the need for power coestimation, and demonstrate that performing independent power estimation for the various system components can lead to significant errors in the power estimates, especially for control-intensive and reactive-embedded systems. We observe that the computation time for performing power coestimation is dominated by: i) the requirement to analyze/simulate some parts of the system at lower levels of abstraction in order to obtain accurate estimates of timing and switching activity information and ii) the need to communicate between and synchronize the various simulators. Thus, a naive implementation of power coestimation may be too inefficient to be used in an iterative design exploration framework. To address this issue, we present several acceleration (speed-up) techniques for power coestimation. The acceleration techniques are energy caching, software power macro-modeling, and statistical sampling. Our speed-up techniques reduce the workload of the power estimators for the individual SoC components, as well as their communication/synchronization overhead. Experimental results indicate that the use of the proposed acceleration techniques results in significant (8/spl times/ to 87/spl times/) speed-ups in SOC power estimation time, with minimal impact on accuracy. We also show the utility of our coestimation tool to explore system-level power tradeoffs for a TCP/IP check-sum engine subsystem.

Published in:

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:10 ,  Issue: 3 )

Date of Publication:

June 2002

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.