Andrew David Gunter

According to our database, Andrew David Gunter authored at least 9 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Using Data to Reduce Uncertainty in FPGA Routing.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

Versatile Place and Route with Continuous Routing Runtime Prediction and Smart Route Termination.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

Open-Source FPGA Routing Runtime Prediction for Improved Productivity Via Smart Route Termination.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

2024

Machine Learning VLSI CAD Experiments Should Consider Atomic Data Groups.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Enabling Risk Management of Machine Learning Predictions for FPGA Routability.

Andrew David Gunter, Maya Thomas, Nikhil Pratap Ghanathe, Steven J. E. Wilton

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

2023

Towards a Machine Learning Approach to Predicting the Difficulty of FPGA Routing Problems.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

Reformulating the FPGA Routability Prediction Problem with Machine Learning.

Andrew David Gunter, Steve Wilton

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

A Machine Learning Approach for Predicting the Difficulty of FPGA Routing Problems.

Andrew David Gunter, Steven J. E. Wilton

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

2018

Machine-Learning Based Congestion Estimation for Modern FPGAs.

Dani Maarouf, Abeer Alhyari, Ziad Abuowaimer, Timothy Martin, Andrew David Gunter, Gary Gréwal, Shawki Areibi, Anthony Vannelli

Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018