Fast Constraints Tuning via Transfer Learning and Multiobjective Optimization-Reference-Cited by-同舟云学术

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Fast Constraints Tuning via Transfer Learning and Multiobjective Optimization

Published:2024-09 Issue:9 Volume:43 Page:2705-2718
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:

Zhang Meng¹^ORCID,Zhang Zheng¹^ORCID,Niu Yifan¹,Li Jiayi¹,Chen Zewei¹,Li Guoqing²,Ha Yajun³^ORCID,Chen Tinghuan⁴^ORCID

Affiliation:

1. School of Integrated Circuits, Southeast University, Nanjing, China

2. First Research Institute, Shandong Yunhai Guochuang Cloud Computing Equipment Industry Innovation Company Ltd., Jinan, China

3. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

4. School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China

Funder

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/43/10643378/10472311.pdf?arnumber=10472311

Reference34 articles.

1. A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization

2. High-Level Synthesis Design Space Exploration: Past, Present, and Future

3. Exact multi-objective design space exploration using ASPmT

4. Lin-analyzer

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