Lightweight Structural Choices Operator for Technology Mapping

Technology mapping quality heavily depends on the subject graph structure. To overcome structural biases, operators construct choice nodes to enable mappings with improved node and level counts. Nevertheless, state-of-the-art structural choice operators scale poorly with graph size.We present the li...

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Bibliographic Details

Published in:	2023 60th ACM/IEEE Design Automation Conference (DAC) pp. 1 - 6
Main Authors:	Grosnit, Antoine, Zimmer, Matthieu, Tutunov, Rasul, Li, Xing, Chen, Lei, Yang, Fan, Yuan, Mingxuan, Bou-Ammar, Haitham
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.07.2023
Subjects:	Benchmark testing Complexity theory Design automation logic synthesis Machine learning structural bias problem structural choice operators
Online Access:	Get full text
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