Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains

Seunghyup Han; Osama Waqar Bhatti; Woo Jin Na; Madhavan Swaminathan

doi:10.1109/NEMO56117.2023.10202224

Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains

Seunghyup Han, Osama Waqar Bhatti, Woo Jin Na, Madhavan Swaminathan

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This paper proposes a reinforcement learning (RL)-based method to optimize power plane design with multiple voltage domains. The proposed method enables the simultaneous selection of the plane for expansion and its expansion direction, determining the size and shape of multiple power planes. The results show that the proposed method provides various optimized power plane designs that satisfy the target impedance and ensure the reference plane for the input/output (I/O) interface.

Original language	English (US)
Title of host publication	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	147-150
Number of pages	4
ISBN (Electronic)	9798350347401
DOIs	https://doi.org/10.1109/NEMO56117.2023.10202224
State	Published - 2023
Event	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023 - Hybrid, Winnipeg, Canada Duration: Jun 28 2023 → Jun 30 2023

Publication series

Name	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023

Conference

Conference	2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
Country/Territory	Canada
City	Hybrid, Winnipeg
Period	6/28/23 → 6/30/23

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Control and Optimization
Mathematical Physics
Modeling and Simulation

Access to Document

10.1109/NEMO56117.2023.10202224

Cite this

Han, S., Bhatti, O. W., Na, W. J., & Swaminathan, M. (2023). Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains. In 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023 (pp. 147-150). (2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEMO56117.2023.10202224

Han, Seunghyup ; Bhatti, Osama Waqar ; Na, Woo Jin et al. / Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains. 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 147-150 (2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023).

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title = "Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains",

abstract = "This paper proposes a reinforcement learning (RL)-based method to optimize power plane design with multiple voltage domains. The proposed method enables the simultaneous selection of the plane for expansion and its expansion direction, determining the size and shape of multiple power planes. The results show that the proposed method provides various optimized power plane designs that satisfy the target impedance and ensure the reference plane for the input/output (I/O) interface.",

author = "Seunghyup Han and Bhatti, \{Osama Waqar\} and Na, \{Woo Jin\} and Madhavan Swaminathan",

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series = "2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023",

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Han, S, Bhatti, OW, Na, WJ & Swaminathan, M 2023, Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains. in 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023. 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023, Institute of Electrical and Electronics Engineers Inc., pp. 147-150, 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023, Hybrid, Winnipeg, Canada, 6/28/23. https://doi.org/10.1109/NEMO56117.2023.10202224

Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains. / Han, Seunghyup; Bhatti, Osama Waqar; Na, Woo Jin et al.
2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 147-150 (2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2023

Y1 - 2023

N2 - This paper proposes a reinforcement learning (RL)-based method to optimize power plane design with multiple voltage domains. The proposed method enables the simultaneous selection of the plane for expansion and its expansion direction, determining the size and shape of multiple power planes. The results show that the proposed method provides various optimized power plane designs that satisfy the target impedance and ensure the reference plane for the input/output (I/O) interface.

AB - This paper proposes a reinforcement learning (RL)-based method to optimize power plane design with multiple voltage domains. The proposed method enables the simultaneous selection of the plane for expansion and its expansion direction, determining the size and shape of multiple power planes. The results show that the proposed method provides various optimized power plane designs that satisfy the target impedance and ensure the reference plane for the input/output (I/O) interface.

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Han S, Bhatti OW, Na WJ, Swaminathan M. Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains. In 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 147-150. (2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023). doi: 10.1109/NEMO56117.2023.10202224

Reinforcement Learning Applied to the Optimization of Power Delivery Networks with Multiple Voltage Domains

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