Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)-Reference-Cited by-同舟云学术

Transformer Network-Based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)

Published:2022-11 Issue:11 Volume:70 Page:4772-4786
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Park Hyunwook¹^ORCID,Kim Minsu¹,Kim Seongguk¹^ORCID,Kim Keunwoo¹^ORCID,Kim Haeyeon¹,Shin Taein¹^ORCID,Son Keeyoung¹^ORCID,Sim Boogyo¹^ORCID,Kim Subin²,Jeong Seungtaek³^ORCID,Hwang Chulsoon³^ORCID,Kim Joungho¹^ORCID

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

2. Samsung Electronics, Suwon, South Korea

3. Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA

Funder

National Research and Development Program through the National Research Foundation of Korea (NRF), Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://xplorestaging.ieee.org/ielx7/22/9939118/09893497.pdf?arnumber=9893497

Reference43 articles.

1. A Novel Through Mold Plate (TMP) for Signal and Thermal Integrity Improvement of High Bandwidth Memory (HBM)

2. Signal Integrity and Computing Performance Analysis of a Processing-In-Memory of High Bandwidth Memory (PIM-HBM) Scheme

3. Neural combinatorial optimization with reinforcement learning;bello;Proc Int Conf Learn Represent (ICLR),2017

4. Deep Residual Learning for Image Recognition

5. Attention, learn to solve routing problems!;kool;Proc Int Conf Learn Represent (ICLR),2019

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