Timothy Martin

21 papers A* 1B 3C 1Misc 1Journal 5Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	A High-Performance Routing Engine for Large-Scale FPGAs. FPL Timothy Martin, Dani Maarouf, Gary Gréwal, Shawki Areibi
2023	—	`conf`	A Deep-Learning Data-Driven Approach for Reducing FPGA Routing Runtimes. ICFPT Timothy Martin, Qi Li, Charlotte Barnes, Gary Gréwal, Shawki Areibi
2023	—	`conf`	FPGA Placement: Dynamic Decision Making Via Machine Learning. SBCCI Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi
2023	J	`jnl`	Integrating Machine-Learning Probes in FPGA CAD: Why and How? IEEE Des. Test Timothy Martin, Charlotte Barnes, Gary Gréwal, Shawki Areibi
2022	—	`conf`	An Adaptive Sequential Decision Making Flow for FPGAs using Machine Learning. ICM Timothy Martin, Charlotte Barnes, Shawki Areibi, Gary Gréwal
2022	—	`conf`	Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information. MLCAD Umair F. Siddiqi, Timothy Martin, Sam Van Den Eijnden, Ahmed Shamli, Gary Gréwal, Sadiq M. Sait, Shawki Areibi
2022	C	`conf`	Guiding FPGA Detailed Placement via Reinforcement Learning. VLSI-SoC P. Esmaeili, Timothy Martin, Shawki Areibi, Gary Gréwal
2022	—	`conf`	Integrating Machine-Learning Probes into the VTR FPGA Design Flow. SBCCI Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi
2021	J	`jnl`	A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. ACM Trans. Reconfigurable Technol. Syst. Abeer Y. Al-Hyari, Hannah Szentimrey, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi
2021	—	`conf`	A Machine Learning Approach to Predict Timing Delays During FPGA Placement. IPDPS Workshops Timothy Martin, Gary Gréwal, Shawki Areibi
2021	—	`conf`	Effective Machine-Learning Models for Predicting Routability During FPGA Placement. MLCAD Timothy Martin, Shawki Areibi, Gary Gréwal
2021	—	`conf`	Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs. ICM M. Fathi, Timothy Martin, Gary Gréwal, Shawki Areibi
2020	B	`conf`	A Deep-Learning Framework for Predicting Congestion During FPGA Placement. FPL Dani Maarouf, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi
2020	—	`conf`	An Adaptive Analytic FPGA Placement Framework based on Deep-Learning. MLCAD Abeer Y. Al-Hyari, Ahmed Shamli, Timothy Martin, Shawki Areibi, Gary Gréwal
2020	J	`jnl`	Machine Learning for Congestion Management and Routability Prediction within FPGA Placement. ACM Trans. Design Autom. Electr. Syst. Hannah Szentimrey, Abeer Y. Al-Hyari, Jérémy Foxcroft, Timothy Martin, David Noel, Gary William Grewal, Shawki Areibi
2019	A*	`conf`	A Flat Timing-Driven Placement Flow for Modern FPGAs. DAC Timothy Martin, Dani Maarouf, Ziad Abuowaimer, Abeer Alhyari, Gary Gréwal, Shawki Areibi
2019	J	`jnl`	Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs. ACM Trans. Reconfigurable Technol. Syst. Abeer Y. Al-Hyari, Ziad Abuowaimer, Timothy Martin, Gary Gréwal, Shawki Areibi, Anthony Vannelli
2018	J	`jnl`	GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures. ACM Trans. Design Autom. Electr. Syst. Ziad Abuowaimer, Dani Maarouf, Timothy Martin, Jérémy Foxcroft, Gary Gréwal, Shawki Areibi, Anthony Vannelli
2018	B	`conf`	Machine-Learning Based Congestion Estimation for Modern FPGAs. FPL Dani Maarouf, Abeer Alhyari, Ziad Abuowaimer, Timothy Martin, Andrew David Gunter, Gary Gréwal, Shawki Areibi, Anthony Vannelli
2012	Misc	`conf`	Evaluation of bluetooth low power for physiological monitoring in a home based cardiac rehabilitation program. HIC Timothy Martin, Hang Ding, Matthew D'Souza, Mohan Karunanithi
1999	—	`conf`	TEAM 21: A Framework for the Total Enterprise. WebNet D. Charles Hair, Timothy Martin, Yanhe Jin