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FEEP: Functional ECO Synthesis with Efficient Patch Minimization

  • Yaotian Liu
  • , Yuhang Zhang*
  • , Qing Zhang
  • , Rui Chen
  • , Yongfu Li
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Functional engineering change order (ECO) has been an essential process in modern complex integrated circuit design. Finding a high-quality circuit patch efficiently has long been a challenge. This paper proposes FEEP, an automatic and efficient synthesis-based functional ECO method. Structural pruning and stratified searching techniques are proposed to minimize search space without extra logical equivalence checks. Moreover, we propose a machine-learning-based two-stage patch size predictor that assists in predicting patch quality. Experimental results show that our algorithm can efficiently search and produce high-quality patches under various test cases.

源语言英语
主期刊名AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350332674
DOI
出版状态已出版 - 2023
已对外发布
活动5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023 - Hangzhou, 中国
期限: 11 6月 202313 6月 2023

出版系列

姓名AICAS 2023 - IEEE International Conference on Artificial Intelligence Circuits and Systems, Proceeding

会议

会议5th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2023
国家/地区中国
Hangzhou
时期11/06/2313/06/23

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