Machine learning for electronic design automation: A survey
With the down-scaling of CMOS technology, the design complexity of very large-scale
integrated is increasing. Although the application of machine learning (ML) techniques in …
integrated is increasing. Although the application of machine learning (ML) techniques in …
MLCAD: A survey of research in machine learning for CAD keynote paper
Due to the increasing size of integrated circuits (ICs), their design and optimization phases
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
(ie, computer-aided design, CAD) grow increasingly complex. At design time, a large design …
Machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test
Rapid developments in semiconductor technology have substantially increased the
computational capability of computers. As a result of this and recent developments in theory …
computational capability of computers. As a result of this and recent developments in theory …
A survey of machine learning for computer architecture and systems
It has been a long time that computer architecture and systems are optimized for efficient
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …
execution of machine learning (ML) models. Now, it is time to reconsider the relationship …
A customized graph neural network model for guiding analog IC placement
Analog IC placement is typically a manual process that requires strong experience and trial-
and-error iterations as it produces a large impact to circuit performance in a complicated …
and-error iterations as it produces a large impact to circuit performance in a complicated …
MAGICAL: Toward fully automated analog IC layout leveraging human and machine intelligence
Despite tremendous advancement of digital IC design automation tools over the last few
decades, analog IC layout is still heavily manual which is very tedious and error-prone. This …
decades, analog IC layout is still heavily manual which is very tedious and error-prone. This …
MAGICAL: An open-source fully automated analog IC layout system from netlist to GDSII
MAGICAL: An Open-Source Fully Automated Analog IC Layout System from Netlist to GDSII
Page 1 2168-2356 (c) 2020 IEEE. Personal use is permitted, but republication/redistribution …
Page 1 2168-2356 (c) 2020 IEEE. Personal use is permitted, but republication/redistribution …
Towards decrypting the art of analog layout: Placement quality prediction via transfer learning
Despite tremendous efforts in analog layout automation, little adoption has been
demonstrated in practical design flows. Traditional analog layout synthesis tools use various …
demonstrated in practical design flows. Traditional analog layout synthesis tools use various …
Toward silicon-proven detailed routing for analog and mixed-signal circuits
Detailed routing is an intricate and tedious procedure in design automation and has become
a crucial step for advanced node enablement. Compared with its advances in digital design …
a crucial step for advanced node enablement. Compared with its advances in digital design …
Fast IR drop estimation with machine learning
IR drop constraint is a fundamental requirement enforced in almost all chip designs.
However, its evaluation takes a long time, and mitigation techniques for fixing violations may …
However, its evaluation takes a long time, and mitigation techniques for fixing violations may …