Black-box optimization of 3D integrated systems using machine learning

Hakki M. Torun, Madhavan Swaminathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Increasing complexity of electronics originates new challenges to system optimization. This work proposes a new black box optimization algorithm based on machine learning to address these challenges and analyzes its performance for clock skew minimization of 3D integrated systems.

Original languageEnglish (US)
Title of host publication2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Electronic)9781467364836
DOIs
StatePublished - Jul 2 2017
Event26th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017 - San Jose, United States
Duration: Oct 15 2017Oct 18 2017

Publication series

Name2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
Volume2018-January

Conference

Conference26th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
Country/TerritoryUnited States
CitySan Jose
Period10/15/1710/18/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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