Emergent Mind
Machine Learning for Electronic Design Automation: A Survey
(2102.03357)
Published Jan 10, 2021
in
eess.SP
,
cs.AI
,
cs.LG
,
cs.SY
,
and
eess.SY
Abstract
With the down-scaling of CMOS technology, the design complexity of very large-scale integrated (VLSI) is increasing. Although the application of ML techniques in electronic design automation (EDA) can trace its history back to the 90s, the recent breakthrough of ML and the increasing complexity of EDA tasks have aroused more interests in incorporating ML to solve EDA tasks. In this paper, we present a comprehensive review of existing ML for EDA studies, organized following the EDA hierarchy.
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