FEEP:高效贴片最小化的功能性生态合成

Yaotian Liu, Yuhang Zhang, Qing Zhang, Rui Chen, Yongfu Li
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引用次数: 0

摘要

功能工程变更顺序(ECO)是现代复杂集成电路设计中的一个重要过程。长期以来,高效地找到高质量的电路贴片一直是一个挑战。本文提出了一种自动、高效的基于合成的功能化ECO方法——FEEP。提出了结构修剪和分层搜索技术,以减少搜索空间,而不需要额外的逻辑等价检查。此外,我们提出了一个基于机器学习的两阶段补丁大小预测器,以帮助预测补丁质量。实验结果表明,该算法在各种测试用例下都能有效地搜索并生成高质量的补丁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FEEP: Functional ECO Synthesis with Efficient Patch Minimization
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.
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