Reinforcement Learning Based Automatic Router for Power Delivery Network Prototypes

Reinforcement learning (RL) is applied to an automated power delivery network design process. Initially., a prototype board is created with multiple power rails. Using two RL agents., a power delivery network (PDN) is created. Firstly., each power rail is routed from the voltage regulator to the integrated circuit (IC) pins. Secondly., the metal width of each rail is expanded to decrease the resistance and inductance of the rail.

Authors

Institutions

Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/epeps61853.2024.10754564
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reinforcement Learning Based Automatic Router for Power Delivery Network Prototypes

Fusong Yuan, Abinash Roy
1 citations
Advanced MIMO Systems Optimization
0.21
article

Reinforcement Learning Based Automatic Router for Power Delivery Network Prototypes

Fusong Yuan, Abinash Roy
article en
1 citations

Abstract

Reinforcement learning (RL) is applied to an automated power delivery network design process. Initially., a prototype board is created with multiple power rails. Using two RL agents., a power delivery network (PDN) is created. Firstly., each power rail is routed from the voltage regulator to the integrated circuit (IC) pins. Secondly., the metal width of each rail is expanded to decrease the resistance and inductance of the rail.

Intel (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 46%
Advanced MIMO Systems Optimization
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.