A Non-Random Exploration based Method for the optimization of Capacitors in Power Delivery Networks
This paper proposes a non-random exploration based method to optimize the response of power delivery network (PDN) using the minimum number of capacitors. Unlike previous optimization methods which are based on either full search or random exploration (machine learning etc), the present method requi...
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Published in | 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) pp. 1 - 3 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2020
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Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes a non-random exploration based method to optimize the response of power delivery network (PDN) using the minimum number of capacitors. Unlike previous optimization methods which are based on either full search or random exploration (machine learning etc), the present method requires few simulations to converge to the minimum decoupling capacitor solution. The results show that the proposed method is more robust based on comparisons. |
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ISSN: | 2165-4115 |
DOI: | 10.1109/EPEPS48591.2020.9231448 |