DTOC-P: Deep-Learning-Driven Timing Optimization Using Commercial EDA Tool With Practicality Enhancement-Reference-Cited by-同舟云学术

DTOC-P: Deep-Learning-Driven Timing Optimization Using Commercial EDA Tool With Practicality Enhancement

Published:2024-08 Issue:8 Volume:43 Page:2493-2506
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Ahn Jaehoon¹^ORCID,Chang Kyungjoon¹^ORCID,Choi Kyu-Myung¹^ORCID,Kim Taewhan¹^ORCID,Park Heechun²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

2. Department of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, Ulsan, South Korea

Funder

Samsung

Samsung Advanced Institute of Technology

National Research Foundation of Korea (NRF) Grant

Korea Government

Institute of Information and Communications Technology Planning and Evaluation

Software Systems for AI Semiconductor Design and the Artificial Intelligence Semiconductor Support Program to nurture the best talents grant

National Research and Development Program through NRF by Ministry of Science and ICT

BK21 Four Program of the Education and Research Program for Future ICT Pioneers, Seoul National University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference30 articles.

3. PROS: A plug-in for routability optimization applied in the state-of-the-art commercial EDA tool using deep learning;Chen