LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation

G Chen, K Zhu, S Kim, H Zhu, Y Lai, B Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Analog layout synthesis faces significant challenges due to its dependence on manual
processes, considerable time requirements, and performance instability. Current Bayesian …

Machine Learning in EDA: When and How

B Yu - 2023 ACM/IEEE 5th Workshop on Machine Learning …, 2023 - ieeexplore.ieee.org
Machine learning is a powerful technique that can derive knowledge from large data set,
and provide prediction and modeling. Since VLSI chip designs have extremely high …

GPU-accelerated matrix cover algorithm for multiple patterning layout decomposition

G Chen, H Yang, B Yu - DTCO and Computational Patterning II, 2023 - spiedigitallibrary.org
Multiple patterning lithography (MPL) is regarded as one of the most promising ways of
overcoming the resolution limitations of conventional optical lithography due to the delay of …

Segmentation of facial bones from skull point clouds based on smoothed deviation angle

MA Ulinuha, EM Yuniarno, IKE Purnama… - Kinetik: Game …, 2022 - kinetik.umm.ac.id
The human skull was the subject of study in various fields. Segmentation could be a basic
tool for better understanding the skull. One of the most challenging tasks was facial bone …

Design Space Exploration with Machine Learning Co-Optimization

QL Chuang, AB Chong, LC Cheng… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
In recent years, electronic design automation has been preoccupied with machine learning.
The application of machine learning is being utilized by the design industry to increase the …

Open-source differentiable lithography imaging framework

G Chen, H Geng, B Yu, DZ Pan - DTCO and Computational …, 2024 - spiedigitallibrary.org
The rapid evolution of the electronics industry, driven by Moore's law and the proliferation of
integrated circuits, has led to significant advancements in modern society, including the …

Design Space Optimization with Machine Learning Library Pruning

AB Chong, S Bima, NK Aun - 2021 International Conference …, 2021 - ieeexplore.ieee.org
In recent years, machine learning is a hot topic for electronic design automation (EDA). The
design industries are leveraging the power of machine learning to drive the predictability of …

Feature Learning and Optimization in VLSI CAD

H Geng - 2021 - search.proquest.com
As the technology node of integrated circuits rapidly scales down to 7nm and beyond, the
electronic design automation (EDA) in very large-scale integration (VLSI), which has been …