Timothy Martin

According to our database, Timothy Martin authored at least 20 papers between 1999 and 2023.

Collaborative distances:

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

2023

Integrating Machine-Learning Probes in FPGA CAD: Why and How?

Timothy Martin, Charlotte Barnes, Gary Gréwal, Shawki Areibi

IEEE Des. Test, October, 2023

FPGA Placement: Dynamic Decision Making Via Machine Learning.

Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi

Proceedings of the 36th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, 2023

A Deep-Learning Data-Driven Approach for Reducing FPGA Routing Runtimes.

Timothy Martin, Qi Li, Charlotte Barnes, Gary Gréwal, Shawki Areibi

Proceedings of the International Conference on Field Programmable Technology, 2023

2022

Guiding FPGA Detailed Placement via Reinforcement Learning.

P. Esmaeili, Timothy Martin, Shawki Areibi, Gary Gréwal

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Integrating Machine-Learning Probes into the VTR FPGA Design Flow.

Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi

Proceedings of the 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, 2022

Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information.

Umair F. Siddiqi, Timothy Martin, Sam Van Den Eijnden, Ahmed Shamli, Gary Gréwal, Sadiq M. Sait, Shawki Areibi

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

An Adaptive Sequential Decision Making Flow for FPGAs using Machine Learning.

Timothy Martin, Charlotte Barnes, Shawki Areibi, Gary Gréwal

Proceedings of the International Conference on Microelectronics, 2022

2021

A Deep Learning Framework to Predict Routability for FPGA Circuit Placement.

Abeer Y. Al-Hyari, Hannah Szentimrey, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi

ACM Trans. Reconfigurable Technol. Syst., 2021

Effective Machine-Learning Models for Predicting Routability During FPGA Placement.

Timothy Martin, Shawki Areibi, Gary Gréwal

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

A Machine Learning Approach to Predict Timing Delays During FPGA Placement.

Timothy Martin, Gary Gréwal, Shawki Areibi

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs.

M. Fathi, Timothy Martin, Gary Gréwal, Shawki Areibi

Proceedings of the International Conference on Microelectronics, 2021

2020

Machine Learning for Congestion Management and Routability Prediction within FPGA Placement.

Hannah Szentimrey, Abeer Y. Al-Hyari, Jérémy Foxcroft, Timothy Martin, David Noel, Gary William Grewal, Shawki Areibi

ACM Trans. Design Autom. Electr. Syst., 2020

An Adaptive Analytic FPGA Placement Framework based on Deep-Learning.

Abeer Y. Al-Hyari, Ahmed Shamli, Timothy Martin, Shawki Areibi, Gary Gréwal

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

A Deep-Learning Framework for Predicting Congestion During FPGA Placement.

Dani Maarouf, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi

Proceedings of the 30th International Conference on Field-Programmable Logic and Applications, 2020

2019

Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs.

Abeer Y. Al-Hyari, Ziad Abuowaimer, Timothy Martin, Gary Gréwal, Shawki Areibi, Anthony Vannelli

ACM Trans. Reconfigurable Technol. Syst., 2019

A Flat Timing-Driven Placement Flow for Modern FPGAs.

Timothy Martin, Dani Maarouf, Ziad Abuowaimer, Abeer Alhyari, Gary Gréwal, Shawki Areibi

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures.

Ziad Abuowaimer, Dani Maarouf, Timothy Martin, Jérémy Foxcroft, Gary Gréwal, Shawki Areibi, Anthony Vannelli

ACM Trans. Design Autom. Electr. Syst., 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

2012

Evaluation of bluetooth low power for physiological monitoring in a home based cardiac rehabilitation program.

Timothy Martin, Hang Ding, Matthew D'Souza, Mohan Karunanithi

Proceedings of the Health Informatics: Building a Healthcare Future Through Trusted Information, 2012

1999

TEAM 21: A Framework for the Total Enterprise.

D. Charles Hair, Timothy Martin, Yanhe Jin

Proceedings of WebNet 99, 1999