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ASEE 2015 Northeast Section Conference (Abstract submission for student poster)
A MODIFIED MONTE-CARLO (POWER DEPLETION SIMULATION)
METHOD BY PSPICE
Xuan Zhuang1, Peiqiao Wu2, Xingguo Xiong3, Prabir Patra4
Abstract - PSPICE, one member of SPICE family, is a popular commercial software
applied to simulate all types of circuit in variety of applications. However, the power
consumption cannot be directly simulated by PSPICE. One smart indirect approach that
can evaluate the power consumption by PSPICE is called Monte-Carlo simulation. In
Monte-Carlo simulation an auxiliary power testing circuit is ingeniously added in
PSPICE simulation. But, there is a problem that the simulation results may give some
unexpected voltage drops at the stable state and their boundaries when we simulate
CMOS circuit, while power consumption should never be negative value in CMOS
circuit. Base on the research the reason of unexpected results is the auxiliary power
testing circuit only attaching to power source VCC. However the input signals may also
contribute the extra electric energy to entire CMOS circuit, especially when the input
signals are much more complex than that of a simple model in COMS circuit. Therefore,
in our modified Monte-Carlo model, auxiliary power testing circuit is added to each
single input source to accumulate the power consumption. As we compared and analyzed
the simulation results between a common Monte-Carlo method and modified MonteCarlo method. We find there was no more unexpected voltage drops and the result is
more accurate in modified Monte-Carlo method.
Keywords:
Correspondence:
1. Xuan Zhang: Master student in Department of Department of Electrical and
Department of Computer Science, University of Bridgeport, Bridgeport, CT 06604
Address: 343 Park Avenue, Bridgeport, CT 06604
Email: [email protected]
Tel: 401-574-6010
2. Peiqiao Wu: Master student in Department of Computer Science and Department of
Biomedical Engineering, University of Bridgeport, Bridgeport, CT 06604
Address: 343 Park Avenue, Bridgeport, CT 06604
Email: [email protected]
Tel: 781-267-9914
3. Xingguo Xiong: Associate Professor in Department of Electrical and Computer
Engineering, University of Bridgeport, Bridgeport, CT 06604
Address: 221 University Avenue, University of Bridgeport, Bridgeport, CT 06604
Email: [email protected]
Tel: 203-576-4760
4. Prabir Patra: Associate Professor in Department of Mechanical Engineering and
Department of Biomedical Engineering (Director), University of Bridgeport,
Bridgeport, CT 06604
Address: 221 University Avenue, University of Bridgeport, Bridgeport, CT 06604
Email: [email protected]
Tel: 203-576-4165
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