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 …

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 …

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 …

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 …

Artificial intelligence (AI) and machine learning (ML) techniques have been increasingly
used in several fields to improve performance and the level of automation. In recent years …

Within the Electronic Design Automation (EDA) domain, AI-driven solutions have emerged
as formidable tools, yet they typically augment rather than redefine existing methodologies …

Placement is among the most critical steps in analog/mixed-signal (AMS) circuit layout
synthesis. It implicitly determines the wiring topology and therefore has considerable …

Realizing the layouts of analog/mixed-signal (AMS) integrated circuits (ICs) is a complicated
task due to the high design flexibility and sensitive circuit performance. Compared with the …

Optimizing circuit performance presents a pivotal challenge in the realm of automatic analog
physical design. The intricacy of analog performance arises from its sensitivity to layout …

Analog layout synthesis has recently received much attention to mitigate the increasing cost
of manual layout efforts. To achieve the desired performance and design specifications …