DocumentCode :
2965174
Title :
A hierarchical approach to transistor-level power estimation of arithmetic units
Author :
Satyanarayana, Janardhan H. ; Parhi, Keshab K.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
6
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
3338
Abstract :
This paper presents an algorithm for power estimation in digital circuits using a hierarchical approach. The salient feature of this approach is that it can be used to estimate the power of large digital circuits in a reasonably short time. Moreover, it takes into account both the spatial correlations introduced in the circuit due to reconvergent fanout, and the delays associated with the various computation units. The circuit is partitioned into sub-circuits which are modeled using state transition diagrams (STDs), and the energy, and therefore power, associated with the circuit is then computed from its constituent STDs by treating them as irreducible Markov chains. Experimental results show that the estimated power is in close agreement with the actual power obtained from exhaustive SPICE simulations. However, the computation time required by the proposed approach is orders of magnitude less than that required by SPICE
Keywords :
CMOS logic circuits; Markov processes; circuit analysis computing; correlation methods; digital arithmetic; integrated circuit testing; parameter estimation; NAND gates; NOR gates; SPICE simulations; arithmetic units; computation time; computation units; delays; digital CMOS circuits; energy; experimental results; hierarchical approach; irreducible Markov chains; power; power estimation algorithm; reconvergent fanout; spatial correlations; state transition diagrams; transistor-level power estimation; Arithmetic; CMOS digital integrated circuits; CMOS logic circuits; CMOS technology; Digital circuits; Energy consumption; SPICE; Signal processing; Stochastic processes; Switching circuits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.550592
Filename :
550592
Link To Document :
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