Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks

Seunghyup Han; Osama Waqar Bhatti; Madhavan Swaminathan

doi:10.1109/EPEPS53828.2022.9947173

Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks

Seunghyup Han, Osama Waqar Bhatti, Madhavan Swaminathan

Electrical Engineering

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

2 Scopus citations

Abstract

This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.

Original language	English (US)
Title of host publication	EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665450751
DOIs	https://doi.org/10.1109/EPEPS53828.2022.9947173
State	Published - 2022
Event	31st IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2022 - San Jose, United States Duration: Oct 9 2022 → Oct 12 2022

Publication series

Name	EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems

Conference

Conference	31st IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2022
Country/Territory	United States
City	San Jose
Period	10/9/22 → 10/12/22

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Electronic, Optical and Magnetic Materials
Instrumentation

Access to Document

10.1109/EPEPS53828.2022.9947173

Cite this

Han, S., Bhatti, O. W., & Swaminathan, M. (2022). Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks. In EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEPS53828.2022.9947173

Han, Seunghyup ; Bhatti, Osama Waqar ; Swaminathan, Madhavan. / Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks. EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc., 2022. (EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems).

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title = "Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks",

abstract = "This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.",

author = "Seunghyup Han and Bhatti, {Osama Waqar} and Madhavan Swaminathan",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 31st IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2022 ; Conference date: 09-10-2022 Through 12-10-2022",

year = "2022",

doi = "10.1109/EPEPS53828.2022.9947173",

language = "English (US)",

series = "EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems",

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Han, S, Bhatti, OW & Swaminathan, M 2022, Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks. in EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems. EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems, Institute of Electrical and Electronics Engineers Inc., 31st IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2022, San Jose, United States, 10/9/22. https://doi.org/10.1109/EPEPS53828.2022.9947173

Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks. / Han, Seunghyup; Bhatti, Osama Waqar; Swaminathan, Madhavan.
EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc., 2022. (EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems).

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

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T1 - Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks

AU - Han, Seunghyup

AU - Bhatti, Osama Waqar

AU - Swaminathan, Madhavan

PY - 2022

Y1 - 2022

N2 - This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.

AB - This paper proposes a deep deterministic policy gradient (DDPG) based method to optimize the power plane in power delivery networks (PDNs). The proposed method considers the degrees of freedom of a plane design in a layer, determining the parameters for creating a power plane. The results show that the proposed method can provide an optimized power plane design even in a plane layer with a restricted region.

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DO - 10.1109/EPEPS53828.2022.9947173

M3 - Conference contribution

AN - SCOPUS:85143433102

T3 - EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems

BT - EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 31st IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2022

Y2 - 9 October 2022 through 12 October 2022

ER -

Han S, Bhatti OW, Swaminathan M. Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks. In EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc. 2022. (EPEPS 2022 - IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems). doi: 10.1109/EPEPS53828.2022.9947173

Reinforcement Learning for the Optimization of Power Plane Designs in Power Delivery Networks

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