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MLCAD Today and Tomorrow: Learning, Optimization and Scaling

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Authors: Andrew B. Kahng

https://doi.org/10.1145/3380446.3430685 Actions

Fast Electrostatic Analysis For VLSI Aging based on Generative Learning

PROCEEDINGS ARTICLE published 30 August 2021 in 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD)

Authors: Subed Lamichhane | Shayoi Peng | Wentian Jin | Sheldon X.-D. Tan

https://doi.org/10.1109/mlcad52597.2021.9531320 Actions

ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning

PROCEEDINGS ARTICLE published 10 September 2023 in 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD)

Authors: Yikang Ouyang | Sicheng Li | Dongsheng Zuo | Hanwei Fan | Yuzhe Ma

https://doi.org/10.1109/mlcad58807.2023.10299840 Actions

Learning Shape Features Using a Binary Tree Classifier

BOOK CHAPTER published 1989 in CAD/CAM Robotics and Factories of the Future

Authors: R. E. Haskell | B. Mirshab

https://doi.org/10.1007/978-3-642-52326-7_33 Actions

Learning Shape Features Using a Binary Tree Classifier

BOOK CHAPTER published 1989 in CAD/CAM Robotics and Factories of the Future

Authors: R. E. Haskell | B. Mirshab

https://doi.org/10.1007/978-3-662-39962-0_33 Actions

Machine Learning Techniques to Support Many-Core Resource Management: Challenges and Opportunities

PROCEEDINGS ARTICLE published September 2019 in 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)

Authors: Martin Rapp | Hussam Amrouch | Marilyn Wolf | Jorg Henkel

https://doi.org/10.1109/mlcad48534.2019.9142064 Actions

Autoencoder-Based Data Sampling for Machine Learning-Based Lithography Hotspot Detection

PROCEEDINGS ARTICLE published 12 September 2022 in 2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)

Authors: Mohamed Tarek Ismail | Hossam Sharara | Kareem Madkour | Karim Seddik

https://doi.org/10.1109/mlcad55463.2022.9900096 Actions

A Thermal Machine Learning Solver For Chip Simulation

PROCEEDINGS ARTICLE published 12 September 2022 in 2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)

Authors: Rishikesh Ranade | Haiyang He | Jay Pathak | Norman Chang | Akhilesh Kumar | Jimin Wen

https://doi.org/10.1109/mlcad55463.2022.9900086 Actions

ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations

PROCEEDINGS ARTICLE published 10 September 2023 in 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD)

Authors: Animesh B. Chowdhury | Jitendra Bhandari | Luca Collini | Ramesh Karri | Benjamin Tan | Siddharth Garg

https://doi.org/10.1109/mlcad58807.2023.10299862 Actions

Project-Based Undergraduate Robotics Education

BOOK CHAPTER published 1989 in CAD/CAM Robotics and Factories of the Future

Authors: Wayne W. Walter

https://doi.org/10.1007/978-3-642-52320-5_54 Actions

Machine-Learning Enabled Next-Generation Physical Design - An EDA Perspective

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Authors: Vishal Khandelwal

https://doi.org/10.1145/3380446.3430691 Actions

Scan Chain Clustering and Optimization with Constrained Clustering and Reinforcement Learning

PROCEEDINGS ARTICLE published 12 September 2022 in 2022 ACM/IEEE 4th Workshop on Machine Learning for CAD (MLCAD)

Authors: Naiju Karim Abdul | George Antony | Rahul M. Rao | Suriya T. Skariah

https://doi.org/10.1109/mlcad55463.2022.9900094 Actions

Combining Evolutionary Algorithms and Deep Learning for Hardware/Software Interface Optimization

PROCEEDINGS ARTICLE published September 2019 in 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)

Authors: Lorenzo Servadei | Edoardo Mosca | Michael Werner | Volkan Esen | Robert Wille | Wolfgang Ecker

https://doi.org/10.1109/mlcad48534.2019.9142090 Actions

Graph Representation Learning for Gate Arrival Time Prediction

PROCEEDINGS ARTICLE published 12 September 2022 in Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD

Research funded by National Science Foundation (CNS-1751032)

Authors: Pratik Shrestha | Saran Phatharodom | Ioannis Savidis

https://doi.org/10.1145/3551901.3556478 Actions

Transfer Learning for Design-Space Exploration with High-Level Synthesis

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Research funded by National Science Foundation (1527821, 1764000)

Authors: Jihye Kwon | Luca P. Carloni

https://doi.org/10.1145/3380446.3430636 Actions

Automatic Layout Generation with Applications in Machine Learning Engine Evaluation

PROCEEDINGS ARTICLE published September 2019 in 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD)

Authors: Haoyu Yang | Wen Chen | Piyush Pathak | Frank Gennari | Ya-Chieh Lai | Bei Yu

https://doi.org/10.1109/mlcad48534.2019.9142121 Actions

Integration of CAD/CAM Into Engineering Sciences Education

BOOK CHAPTER published 1989 in CAD/CAM Robotics and Factories of the Future

Authors: Nir Berzak

https://doi.org/10.1007/978-3-642-52320-5_4 Actions

Using Machine Learning Clustering To Find Large Coverage Holes

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Authors: Raviv Gal | Giora Simchoni | Avi Ziv

https://doi.org/10.1145/3380446.3430621 Actions

Decision Making in Synthesis cross Technologies using LSTMs and Transfer Learning

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Authors: Cunxi Yu | Wang Zhou

https://doi.org/10.1145/3380446.3430638 Actions

Application of Quantum Machine Learning to VLSI Placement

PROCEEDINGS ARTICLE published 16 November 2020 in Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD

Research funded by National Science Foundation (CNS-1624770)

Authors: Isaac Turtletaub | George Li | Mohannad Ibrahim | Paul Franzon

https://doi.org/10.1145/3380446.3430644 Actions
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