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Model-based OPC Extension in OpenILT

  • Su Zheng
  • , Gang Xiao
  • , Ge Yan
  • , Meng Dong
  • , Yao Li
  • , Hong Chen
  • , Yuzhe Ma
  • , Bei Yu
  • , Martin Wong

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

9 Citations (Scopus)

Abstract

Optical proximity correction (OPC) is a technique to improve the accuracy of pattern transfer from the mask to the wafer in optical lithography. Model-based OPC (MB-OPC) uses mathematical models to simulate the image formation process and adjust the mask layout accordingly. In this paper, we extend the open-source computational lithography library OpenILT to support MB-OPC. The extension provides a flexible and modular framework for implementing OPC algorithms with GPU acceleration for large-scale layouts. We demonstrate the performance and scalability of the library on different mask patterns. The experimental results show that our method can achieve more than 5 times speedup over the CPU-based MB-OPC method, while maintaining the same correction accuracy and quality. Our MB-OPC extension can provide a powerful baseline for future research on OPC.

Original languageEnglish
Title of host publication2024 2nd International Symposium of Electronics Design Automation, ISEDA 2024
PublisherIEEE
Pages568-573
Number of pages6
ISBN (Electronic)9798350352030, 9798350352023
ISBN (Print)9798350352047
DOIs
Publication statusPublished - May 2024
Event2024 International Symposium of Electronics Design Automation, ISEDA 2024 - Xi'an, China
Duration: 10 May 2024 → 13 May 2024
https://ieeexplore.ieee.org/xpl/conhome/10616249/proceeding

Publication series

NameInternational Symposium of Electronics Design Automation, ISEDA

Conference

Conference2024 International Symposium of Electronics Design Automation, ISEDA 2024
Country/TerritoryChina
CityXi'an
Period10/05/24 → 13/05/24
Internet address

User-Defined Keywords

  • Computational Lithography
  • GPU Acceleration
  • Optical Proximity Correction

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