DocumentCode
1453218
Title
Gate-level power estimation using tagged probabilistic simulation
Author
Ding, Chih-Shun ; Tsui, Chi-ying ; Pedram, Massoud
Author_Institution
Rockwell Int. Corp., Newport Beach, CA, USA
Volume
17
Issue
11
fYear
1998
fDate
11/1/1998 12:00:00 AM
Firstpage
1099
Lastpage
1107
Abstract
In this paper, we present a probabilistic simulation technique to estimate the power consumption of a CMOS circuit under a general delay model. This technique is based on the notion of a tagged (probability) waveform, which models the set of all possible events at the output of each circuit node. Tagged waveforms are obtained by partitioning the logic waveform space of a circuit node according to the initial and final values of each logic waveform and compacting all logic waveforms in each partition by a single tagged waveform. To improve the efficiency of tagged probabilistic simulation, only tagged waveforms at the circuit inputs are exactly computed. The tagged waveforms of the remaining nodes are computed using a compositional scheme that propagates the tagged waveforms from circuit inputs to circuit outputs. We obtain significant speed up over explicit simulation methods with an average error of only 6%. This also represents a factor of 2-3× improvement in accuracy of power estimates over previous probabilistic simulation approaches
Keywords
CMOS logic circuits; circuit simulation; delays; integrated circuit design; logic CAD; logic partitioning; low-power electronics; CMOS circuit; circuit node; compositional scheme; gate-level power estimation; general delay model; logic waveform space; logic waveforms; partitioning; power consumption; tagged probabilistic simulation; CMOS logic circuits; Capacitance; Circuit simulation; Computational modeling; Delay estimation; Energy consumption; Logic circuits; Monte Carlo methods; Semiconductor device modeling; Very large scale integration;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/43.736184
Filename
736184
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