Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs

Lilas Alrahis, Johann Knechtel, Ozgur Sinanoglu

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

Abstract

Graph neural networks (GNNs) have pushed the state-of-the-art (SOTA) for performance in learning and predicting on large-scale data present in social networks, biology, etc. Since integrated circuits (ICs) can naturally be represented as graphs, there has been a tremendous surge in employing GNNs for machine learning (ML)-based methods for various aspects of IC design. Given this trajectory, there is a timely need to review and discuss some powerful and versatile GNN approaches for advancing IC design. In this paper, we propose a generic pipeline for tailoring GNN models toward solving challenging problems for IC design. We outline promising options for each pipeline element, and we discuss selected and promising works, like leveraging GNNs to break SOTA logic obfuscation. Our comprehensive overview of GNNs frameworks covers (i) electronic design automation (EDA) and IC design in general, (ii) design of reliable ICs, and (iii) design as well as analysis of secure ICs. We provide our overview and related resources also in the GNN4IC hub at https://github.com/DfX-NYUAD/GNN4IC. Finally, we discuss interesting open problems for future research.

Original languageEnglish (US)
Title of host publicationASP-DAC 2023 - 28th Asia and South Pacific Design Automation Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-90
Number of pages8
ISBN (Electronic)9781450397834
DOIs
StatePublished - Jan 16 2023
Event28th Asia and South Pacific Design Automation Conference, ASP-DAC 2023 - Tokyo, Japan
Duration: Jan 16 2023Jan 19 2023

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Conference

Conference28th Asia and South Pacific Design Automation Conference, ASP-DAC 2023
Country/TerritoryJapan
CityTokyo
Period1/16/231/19/23

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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