Abstract
Power estimation at the Register-Transfer level is usually narrowed down to the problem of building accurate power models for the RTL (synthetic) operators. In this work we show that, when RTL power estimation is integrated into a realistic design flow, other types of primitives need to be accurately modeled. In particular, we show that most of the RTL functionality is realized by sparse logic elements.
We thus propose statistical power models for these primitives, that we have validated on a set of industrial benchmarks.
This work is supported, in part, by the EC under contract IST-2001-30125 ”POET”
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gajski, D.D., Dutt, N.D., Wu, A.C.-H., Lin, S.Y.-L.: High-Level Synthesis Introduction to Chip and System Design. Kluwer Academic Publishers, Dordrecht (1992)
Synopsys DesignCompiler, http://www.synopsys.com/products/logic/design_compiler.html
BullDast PowerChecker, http://www.bulldast.com/powerchecker.html
Synopsys VSS, http://www.synopsys.com/products/simulation/vss_cs.html
ModelTechnology ModelSim, http://www.model.com/products/default.asp
Cadence NS-SIM, http://www.cadence.com/datasheets/affirma_nc_sim.html
Bogliolo, A., Colonescu, I., Corgnati, R., Macii, E., Poncino, M.: An RTL Power Estimation Tool with On-Line Model Building Capabilities. In: PATMOS 2001, Yverdonles- bains, Switzerland (September 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bruno, M., Macii, A., Poncino, M. (2003). A Statistical Power Model for Non-synthetic RTL Operators. In: Chico, J.J., Macii, E. (eds) Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation. PATMOS 2003. Lecture Notes in Computer Science, vol 2799. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39762-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-540-39762-5_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20074-1
Online ISBN: 978-3-540-39762-5
eBook Packages: Springer Book Archive