Solvers, Engines, Tools and Flows: The Next Wave for AI/ML in Physical Design
AB Kahng - Proceedings of the 2024 International Symposium on …, 2024 - dl.acm.org
It has been six years since an ISPD-2018 invited talk on" Machine Learning Applications in
Physical Design". Since then, despite considerable activity across both academia and …
Physical Design". Since then, despite considerable activity across both academia and …
IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research
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 …
and broadly support research on machine learning for CAD/EDA (MLCAD). The RDF-2023 …
OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education
Traditional electronic design automation (EDA) techniques struggle to fulfill the stringent
efficiency and quick turnaround demands of complex integrated systems. Machine learning …
efficiency and quick turnaround demands of complex integrated systems. Machine learning …
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
Analog layout synthesis faces significant challenges due to its dependence on manual
processes, considerable time requirements, and performance instability. Current Bayesian …
processes, considerable time requirements, and performance instability. Current Bayesian …
AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators
Novel devices and novel computing paradigms are key for energy efficient, performant future
computing systems. However, designing devices for new applications is often time …
computing systems. However, designing devices for new applications is often time …
Simultaneous Conjugate Gradient and iAFF-UNet for Accurate IR Drop Calculation
H Liu, Y Xu, S Tao, Z Huang, B **e… - 2024 IEEE 42nd …, 2024 - ieeexplore.ieee.org
IR drop analysis has become a computationally challenging problem with the shrinking of
advanced process nodes. Solving the IR drop problem is time-consuming and an accurate …
advanced process nodes. Solving the IR drop problem is time-consuming and an accurate …
AiEDA: An Open-Source AI-Native EDA Library
Z Huang, Z Huang, S Tao, S Chen… - … of Electronics Design …, 2024 - ieeexplore.ieee.org
Although Artificial Intelligence (AI) has made sig-nificant progress in the Electronic Design
Automation (EDA) field, specialized research infrastructure remains insufficient. This paper …
Automation (EDA) field, specialized research infrastructure remains insufficient. This paper …