Effects of correlations on accuracy of power analysis - an experimental study

In this paper, we describe the correlation assumptions made by different power analysis methods and evaluate the impact on the accuracy of total power dissipation calculation as well as of the power dissipated by individual signals. Industrial circuits and applications are used. The results show that some assumptions cause inaccuracies of more than 100% for certain circuit types.

[1]  Bhanu Kapoor.  Improving the Accuracy of Circuit Activity Measurement , 1994, 31st Design Automation Conference.

[2]  Kaushik Roy,et al.  Estimation of circuit activity considering signal correlations and simultaneous switching , 1994, ICCAD '94.

[3]  Baher Haroun,et al.  Power estimation tool for sub-micron CMOS VLSI circuits , 1992, ICCAD.

[4]  Ping Yang,et al.  A Monte Carlo approach for power estimation , 1993, IEEE Trans. Very Large Scale Integr. Syst..

[5]  Farid N. Najm,et al.  Statistical Estimation of the Switching Activity in Digital Circuitsy , 1994, 31st Design Automation Conference.

[6]  José Monteiro,et al.  Power Estimation for Sequential Circuits , 1997 .

[7]  Enrico Macii,et al.  Probabilistic Analysis of Large Finite State Machines , 1994, 31st Design Automation Conference.

[8]  Yan-Chyuan Shiau,et al.  Time domain current waveform simulation of CMOS circuits , 1988, [1988] IEEE International Conference on Computer-Aided Design (ICCAD-89) Digest of Technical Papers.

[9]  Kaushik Roy,et al.  Statistical estimation of sequential circuit activity , 1995, ICCAD.

[10]  S. Chowdhury,et al.  Estimation of maximum currents in MOS IC logic circuits , 1990, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[11]  Ulf Schlichtmann,et al.  A new power estimation technique with application to decomposition of Boolean functions for low power , 1994, EURO-DAC '94.

[12]  Chi-Ying Tsui,et al.  Power efficient technology decomposition and mapping under an extended power consumption model , 1994, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[13]  Farid N. Najm,et al.  Transition density, a stochastic measure of activity in digital circuits , 1991, 28th ACM/IEEE Design Automation Conference.

[14]  Thomas H. Krodel.  Power play-fast dynamic power estimation based on logic simulation , 1991, [1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors.

[15]  Luca Benini,et al.  Analysis of glitch power dissipation in CMOS ICs , 1995, ISLPED '95.

[16]  Helmut E. Graeb,et al.  Fast transient power and noise estimation for VLSI circuits , 1994, ICCAD.

[17]  Radu Marculescu,et al.  Efficient Power Estimation for Highly Correlated Input Streams , 1995, 32nd Design Automation Conference.

[18]  C.M. Huizer,et al.  Power Dissipation Analysis of CMOS VLSI Circuits by means of Switch-Level Simulation , 1990, ESSCIRC '90: Sixteenth European Solid-State Circuits Conference.

[19]  Daniel W. Dobberpuhl,et al.  The design and analysis of VLSI circuits , 1985 .

[20]  Kurt Keutzer,et al.  Estimation of average switching activity in combinational and sequential circuits , 1992, [1992] Proceedings 29th ACM/IEEE Design Automation Conference.

[21]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..