Abstract | ||
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In this paper we present a Monte-Carlo based statistical techniques for estimating power in sequential circuits. Mutually independent samples of power are generated by simulating multiple copies of the circuit. Since the approach is simulation-based, spatiotemporal correlations are automatically accounted for. The algorithm iterates until the user-specified accuracy is achieved. Experimental results on ISCAS89 circuits show that reliable results can be obtained in considerably less time than that required by exhaustive simulation. |
Year | DOI | Venue |
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1997 | 10.1109/EDTC.1997.582393 | ED&TC |
Keywords | Field | DocType |
sequential circuits,multiple copy,sequential circuit,statistical technique,iscas89 circuit,spatiotemporal correlation,monte-carlo approach,exhaustive simulation,power estimation,independent sample,algorithm iterates,reliable result,monte carlo simulation,short circuit,monte carlo,combinational circuits,monte carlo methods,iterative algorithm,statistics,power dissipation,power generation | Monte Carlo method,Sequential logic,Iterative method,Computer science,Real-time computing,Electronic engineering,Charge sharing,Combinational logic,Electronic circuit,Electricity generation,Independence (probability theory) | Conference |
ISSN | ISBN | Citations |
1066-1409 | 0-8186-7786-4 | 4 |
PageRank | References | Authors |
0.52 | 10 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vikram Saxena | 1 | 30 | 2.43 |
F. N. Najm | 2 | 2097 | 571.66 |
Ibrahim Hajj | 3 | 74 | 9.03 |