Integrated circuits or chips are key to enable computing in modern industry. Designing a
chip relies on human experts to produce chip data through professional electronic design …

Power delivery network (PDN) analysis is a critical aspect of the design cycle to ensure the
power grid meets the current demands of the chip. Static IR drop simulation, performed as a …

Recent activities of the IEEE CEDA DATC strengthen the DATC Robust Design Flow (RDF)
and broadly support research on machine learning for CAD/EDA (MLCAD). The RDF-2023 …

Traditional electronic design automation (EDA) techniques struggle to fulfill the stringent
efficiency and quick turnaround demands of complex integrated systems. Machine learning …

To accelerate the back-end design flow of integrated circuit (IC), numerous studies have
made exploratory advancements in machine learning (ML) for electronic design automation …

The “CAD Contest at ICCAD” is a challenging, multi-month, research and development
competition, focusing on advanced, real-world problems in the field of electronic design …

Intellectual property (IP) security has emerged as a critical concern in semiconductor
industries. In the domain of hardware IP security, logic locking is a commonly used …

The efficient analysis of power grids is a crucial yet computationally challenging task in
integrated circuit (IC) design, given the shrinking power supply voltage of ultra deep …

We propose a pyramid scene parsing network (PSPN) with skip-connection architecture to
effectively utilize physical information that characterizes IR drop distribution, including …

There has been significant recent progress to reduce the computational effort of static IR
drop analysis using neural networks, and modeling as an image-to-image translation task. A …