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 language | English |
|---|---|
| Title of host publication | 2024 2nd International Symposium of Electronics Design Automation, ISEDA 2024 |
| Publisher | IEEE |
| Pages | 568-573 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350352030, 9798350352023 |
| ISBN (Print) | 9798350352047 |
| DOIs | |
| Publication status | Published - May 2024 |
| Event | 2024 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
| Name | International Symposium of Electronics Design Automation, ISEDA |
|---|
Conference
| Conference | 2024 International Symposium of Electronics Design Automation, ISEDA 2024 |
|---|---|
| Country/Territory | China |
| City | Xi'an |
| Period | 10/05/24 → 13/05/24 |
| Internet address |
User-Defined Keywords
- Computational Lithography
- GPU Acceleration
- Optical Proximity Correction
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