PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization

Physical design flow through associated electronic design automation (EDA) tools plays an imperative role in the advanced integrated circuit design. Mostly, the parameters fed into physical design tools are mainly manually picked based on the domain knowledge of the experts. Nevertheless, owing to t...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on computer-aided design of integrated circuits and systems Vol. 42; no. 1; pp. 178 - 189
Main Authors:	Geng, Hao, Chen, Tinghuan, Ma, Yuzhe, Zhu, Binwu, Yu, Bei
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Bayes methods Bayesian analysis Circuit design Complexity Configuration management Delays Design optimization Design parameters Electronic design automation Integrated circuits Mathematical models Measurement Multi-objective Bayesian optimization (BO) multi-task Gaussian process Multiple objective analysis Multitasking Optimization Physical design tool parameter tuning Tuning
ISSN:	0278-0070, 1937-4151
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!