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Timothy Martin
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2020 – today
- 2024
- [c16]Timothy Martin, Dani Maarouf, Gary Gréwal, Shawki Areibi:
A High-Performance Routing Engine for Large-Scale FPGAs. FPL 2024: 53-59 - 2023
- [j5]Timothy Martin, Charlotte Barnes, Gary Gréwal
, Shawki Areibi
Integrating Machine-Learning Probes in FPGA CAD: Why and How? IEEE Des. Test 40(5): 7-14 (2023) - [c15]Timothy Martin, Qi Li, Charlotte Barnes, Gary Gréwal, Shawki Areibi:
A Deep-Learning Data-Driven Approach for Reducing FPGA Routing Runtimes. ICFPT 2023: 7-15 - [c14]Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi:
FPGA Placement: Dynamic Decision Making Via Machine Learning. SBCCI 2023: 1-6 - 2022
- [c13]Timothy Martin, Charlotte Barnes, Shawki Areibi, Gary Gréwal:
An Adaptive Sequential Decision Making Flow for FPGAs using Machine Learning. ICM 2022: 34-37 - [c12]Umair F. Siddiqi, Timothy Martin, Sam Van Den Eijnden, Ahmed Shamli, Gary Gréwal, Sadiq M. Sait, Shawki Areibi:
Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information. MLCAD 2022: 15-20 - [c11]Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi:
Integrating Machine-Learning Probes into the VTR FPGA Design Flow. SBCCI 2022: 1-6 - [c10]P. Esmaeili, Timothy Martin, Shawki Areibi, Gary Gréwal:
Guiding FPGA Detailed Placement via Reinforcement Learning. VLSI-SoC 2022: 1-6 - 2021
- [j4]Abeer Y. Al-Hyari, Hannah Szentimrey, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi:
A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. ACM Trans. Reconfigurable Technol. Syst. 14(3): 16:1-16:28 (2021) - [c9]M. Fathi, Timothy Martin, Gary Gréwal, Shawki Areibi:
Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs. ICM 2021: 53-56 - [c8]Timothy Martin, Gary Gréwal, Shawki Areibi:
A Machine Learning Approach to Predict Timing Delays During FPGA Placement. IPDPS Workshops 2021: 124-127 - [c7]Timothy Martin, Shawki Areibi, Gary Gréwal:
Effective Machine-Learning Models for Predicting Routability During FPGA Placement. MLCAD 2021: 1-6 - 2020
- [j3]Hannah Szentimrey, Abeer Y. Al-Hyari, Jérémy Foxcroft, Timothy Martin, David Noel, Gary William Grewal, Shawki Areibi:
Machine Learning for Congestion Management and Routability Prediction within FPGA Placement. ACM Trans. Design Autom. Electr. Syst. 25(5): 37:1-37:25 (2020) - [c6]Dani Maarouf
A Deep-Learning Framework for Predicting Congestion During FPGA Placement. FPL 2020: 138-144 - [c5]Abeer Y. Al-Hyari, Ahmed Shamli, Timothy Martin, Shawki Areibi, Gary Gréwal:
An Adaptive Analytic FPGA Placement Framework based on Deep-Learning. MLCAD 2020: 3-8
2010 – 2019
- 2019
- [j2]Abeer Y. Al-Hyari
Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs. ACM Trans. Reconfigurable Technol. Syst. 12(3): 16:1-16:25 (2019) - [c4]Timothy Martin, Dani Maarouf
A Flat Timing-Driven Placement Flow for Modern FPGAs. DAC 2019: 4 - 2018
- [j1]Ziad Abuowaimer, Dani Maarouf
GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures. ACM Trans. Design Autom. Electr. Syst. 23(5): 66:1-66:33 (2018) - [c3]Dani Maarouf
Machine-Learning Based Congestion Estimation for Modern FPGAs. FPL 2018: 427-434 - 2012
- [c2]Timothy Martin, Hang Ding
Evaluation of bluetooth low power for physiological monitoring in a home based cardiac rehabilitation program. HIC 2012: 124-129
1990 – 1999
- 1999
- [c1]D. Charles Hair, Timothy Martin, Yanhe Jin:
TEAM 21: A Framework for the Total Enterprise. WebNet 1999: 1282-1283
Coauthor Index
aka: Gary Gréwal
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