Separation and extraction of short-circuit power consumption in digital CMOS VLSI circuits

1998 ◽  
Author(s):  
Atila Alvandpour ◽  
Per Larsson-Edefors ◽  
Christer Svensson
Keyword(s):  
Power Consumption ◽  
Short Circuit ◽  
Vlsi Circuits ◽  
Digital Cmos ◽  
Cmos Vlsi ◽  
Circuit Power

scholarly journals A New Statistical Method for Maximum Power Estimation in CMOS VLSI Circuits

2000 ◽  
Vol 22 (3) ◽  
pp. 215-233 ◽  
Author(s):  
N. E. Evmorfopoulos ◽  
J. N. Avaritsiotis
Keyword(s):  
Probability Distribution ◽  
Power Consumption ◽  
Extreme Value Theory ◽  
Power Estimation ◽  
Value Theory ◽  
Vlsi Circuits ◽  
Maximum Power ◽  
Instantaneous Power ◽  
Simplifying Assumptions ◽  
Cmos Vlsi

A method for maximum power estimation in CMOS VLSI circuits is proposed. The method is based on extreme value theory and allows for the calculation of the upper end point of the probability distribution which is followed by the instantaneous power drawn from the supply bus. The main features of the method are the relatively small and circuitin-dependent subset of input patterns required for accurate prediction of maximum power and its simulative nature which ensures that no over-simplifying assumptions are made. Application of the proposed method to eight distributions, which come close to the behavior of power consumption in VLSI circuits, proved its superior capabilities with respect to existing methods.

A METHODOLOGY FOR THE ESTIMATION OF CAPACITIVE CROSSTALK-INDUCED SHORT-CIRCUIT ENERGY

2007 ◽  
Vol 16 (03) ◽  
pp. 455-465 ◽  
Author(s):  
MOSIN MONDAL ◽  
YEHIA MASSOUD
Keyword(s):  
Power Consumption ◽  
Power Dissipation ◽  
Short Circuit ◽  
Average Error ◽  
Dynamic Power ◽  
Characterization Technique ◽  
Circuit Power ◽  
Nanometer Regime

In the nanometer regime, crosstalk significantly impacts the dynamic power consumption of a chip. In this paper, we present a methodology for analyzing crosstalk-induced short-circuit power dissipation in cell-based digital designs. We introduce a new cell pre-characterization technique for facilitating the estimation of crosstalk-induced short-circuit power. Examples demonstrate that the presented methodology is three orders of magnitude faster than circuit simulators while the average error is as low as 3.5%.

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