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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guanglei Liu Fan, J. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, Florida International University, Miami, 33174, USA (Guanglei Liu; Fan, J.) |
| Abstract | In this paper, we propose a framework to analyze the large-scaled multicore power grid network statistically by first building a simplified multicore power supply distribution model. We then apply the Modified Nodal Analysis (MNA) method on a simplified power gird circuit. Under such a framework, most statistical approaches, including Monte Carlo (MC), Importance Sampling, and Stochastic Spectrum Analysis, can be applied to analyze the process-induced variation of homogeneous multicore power grid networks. In the experiment, we focus on the subthreshold leakage current variations, which are modeled as lognormal distribution random variables, by using MC approach as an example to demonstrate the feasibility of such a $framework.^{1}$ |
| Starting Page | 423 |
| Ending Page | 426 |
| File Size | 2587906 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424438686 |
| DOI | 10.1109/ASICON.2009.5351259 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Statistical analysis Multicore processing Power grids Leakage current Monte Carlo methods Stochastic processes Power system modeling Power supplies Random variables Frequency Process Variation Multicore Power Grid Network Statistical Analysis |
| Content Type | Text |
| Resource Type | Article |
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