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Gary Gréwal
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2020 – today
- 2024
[c67]Umair F. Siddiqi, Gary Gréwal, Shawki M. Areibi:
A Recursive Partitioning Approach to Improving Hypergraph Partitioning. CCECE 2024: 240-245- [c66]Timothy Martin, Dani Maarouf, Gary Gréwal, Shawki Areibi:
A High-Performance Routing Engine for Large-Scale FPGAs. FPL 2024: 53-59 - [c65]Umair F. Siddiqi, Ka Chuen Cheng, Gary Gréwal, Shawki Areibi:
Enhancing K-Way Circuit Partitioning: A Deep Reinforcement Learning Methodology. OL2A (1) 2024: 139-154 - 2023
- [j22]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) - [c64]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 - [c63]C. Barn, S. Vermeulen, Shawki Areibi, Gary Gréwal:
An Adaptive Analytical FPGA Placement flow based on Reinforcement Learning. ICM 2023: 178-183 - [c62]Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi:
FPGA Placement: Dynamic Decision Making Via Machine Learning. SBCCI 2023: 1-6 - [c61]Umair F. Siddiqi, Gary William Grewal, Shawki Areibi:
A Deterministic Parallel Routing Approach for Accelerating Pathfinder-based Algorithms. VLSI-SoC 2023: 1-6 - 2022
- [c60]Timothy Martin, Charlotte Barnes, Shawki Areibi, Gary Gréwal:
An Adaptive Sequential Decision Making Flow for FPGAs using Machine Learning. ICM 2022: 34-37 - [c59]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 - [c58]Timothy Martin, Charlotte Barnes, Gary William Grewal, Shawki Areibi:
Integrating Machine-Learning Probes into the VTR FPGA Design Flow. SBCCI 2022: 1-6 - [c57]P. Esmaeili, Timothy Martin, Shawki Areibi, Gary Gréwal:
Guiding FPGA Detailed Placement via Reinforcement Learning. VLSI-SoC 2022: 1-6 - 2021
- [j21]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) - [c56]M. Fathi, Timothy Martin, Gary Gréwal, Shawki Areibi:
Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs. ICM 2021: 53-56 - [c55]Timothy Martin, Gary Gréwal, Shawki Areibi:
A Machine Learning Approach to Predict Timing Delays During FPGA Placement. IPDPS Workshops 2021: 124-127 - [c54]Timothy Martin, Shawki Areibi, Gary Gréwal:
Effective Machine-Learning Models for Predicting Routability During FPGA Placement. MLCAD 2021: 1-6 - 2020
- [j20]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) - [c53]Dani Maarouf, Ahmed Shamli, Timothy Martin, Gary Gréwal, Shawki Areibi:
A Deep-Learning Framework for Predicting Congestion During FPGA Placement. FPL 2020: 138-144 - [c52]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
- [j19]Abeer Y. Al-Hyari, Ziad Abuowaimer, Timothy Martin, Gary Gréwal, Shawki Areibi, Anthony Vannelli:
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) - [c51]Timothy Martin, Dani Maarouf, Ziad Abuowaimer, Abeer Alhyari, Gary Gréwal, Shawki Areibi:
A Flat Timing-Driven Placement Flow for Modern FPGAs. DAC 2019: 4 - [c50]Abeer Alhyari, Ahmed Shamli, Ziad Abuwaimer, Shawki Areibi, Gary Gréwal:
A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. FPL 2019: 334-341 - [c49]Jérémy Foxcroft, Gary Gréwal, Shawki Areibi:
Enhancing the Performance of FPGA Congestion Management via Supervised Learning. ICM 2019: 338-341 - 2018
- [j18]Omar Ahmed, Shawki Areibi, Robert Collier, Gary William Grewal:
Corrigendum to "An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization". Int. J. Reconfigurable Comput. 2018: 6075043:1 (2018) - [j17]Omar Ahmed, Shawki Areibi, Gary Gréwal:
Corrigendum to "Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm". Int. J. Reconfigurable Comput. 2018 (2018) - [j16]Ziad Abuowaimer, Dani Maarouf, Timothy Martin, Jérémy Foxcroft, Gary Gréwal, Shawki Areibi, Anthony Vannelli:
GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures. ACM Trans. Design Autom. Electr. Syst. 23(5): 66:1-66:33 (2018) - [c48]Dani Maarouf, Abeer Alhyari, Ziad Abuowaimer, Timothy Martin, Andrew David Gunter, Gary Gréwal, Shawki Areibi, Anthony Vannelli:
Machine-Learning Based Congestion Estimation for Modern FPGAs. FPL 2018: 427-434 - [c47]Abeer Y. Al-Hyari, Ziad Abuowaimer, Dani Maarouf, Shawki Areibi, Gary Gréwal:
An Effective FPGA Placement Flow Selection Framework using Machine Learning. ICM 2018: 164-167 - [c46]Luiza Antonie, Jérémy Foxcroft, Gary Gréwal, Nirmal Narayanan, Miana Plesca, Rosina Ramirez:
Bias Evaluation of Professors' Reviews. ICMLA 2018: 599-606 - 2017
- [c45]Luiza Antonie, Gary Gréwal, Kris Inwood, Shada Zarti:
Automatic Household Identification for Historical Census Data. Canadian AI 2017: 227-232 - [c44]Gary William Grewal, Shawki Areibi, Matthew Westrik, Ziad Abuowaimer, Betty Zhao:
A Machine Learning Framework for FPGA Placement (Abstract Only). FPGA 2017: 286 - [c43]Dunia Jamma, Omar Ahmed, Shawki Areibi, Gary Gréwal:
Hardware accelerators for the K-nearest neighbor algorithm using high level synthesis. ICM 2017: 1-4 - [c42]Gary Gréwal, Shawki Areibi, Matthew Westrik, Ziad Abuowaimer, Betty Zhao:
Automatic Flow Selection and Quality-of-Result Estimation for FPGA Placement. IPDPS Workshops 2017: 115-123 - 2016
- [j15]Ahmed Al-Wattar, Shawki Areibi, Gary William Grewal:
An Efficient Evolutionary Task Scheduling/Binding Framework for Reconfigurable Systems. Int. J. Reconfigurable Comput. 2016: 9012909:1-9012909:24 (2016) - [c41]Mohammed Elmahgiubi, Omar Ahmed, Shawki Areibi, Gary Gréwal:
Efficient algorithm selection for packet classification using machine learning. CAMAD 2016: 24-30 - [c40]Ryan Pattison, Ziad Abuowaimer, Shawki Areibi, Gary Gréwal, Anthony Vannelli:
GPlace: a congestion-aware placement tool for ultrascale FPGAs. ICCAD 2016: 68 - [c39]Luiza Antonie, Harshavardhan Gadgil, Gary William Grewal, Kris Inwood:
Historical Data Integration a Study of WWI Canadian Soldiers. ICDM Workshops 2016: 186-193 - [c38]Dunia Jamma, Omar Ahmed, Shawki Areibi, Gary Gréwal, Nicholas Molloy:
Design exploration of ASIP architectures for the K-Nearest Neighbor machine-learning algorithm. ICM 2016: 57-60 - [i1]Ahmed Al-Wattar, Shawki Areibi, Gary Gréwal:
An Efficient Framework for Floor-plan Prediction of Dynamic Runtime Reconfigurable Systems. CoRR abs/1611.05438 (2016) - 2015
- [j14]William B. Gardner, Gary Gréwal, Deborah Stacey, David A. Calvert, Stefan C. Kremer, Fangju Wang:
A new Canadian interdisciplinary Ph.D. in computational sciences. J. Comput. Sci. 9: 82-87 (2015) - [j13]Ahmed Al-Wattar, Shawki Areibi, Gary William Grewal:
Efficient Mapping and Allocation of Execution Units to Task Graphs using an Evolutionary Framework. SIGARCH Comput. Archit. News 43(4): 46-51 (2015) - [c37]Niharika Guntamukkala, Rozita Dara, Gary Gréwal:
A Machine-Learning Based Approach for Measuring the Completeness of Online Privacy Policies. ICMLA 2015: 289-294 - [c36]Luiza Antonie, Andrew D'Angelo, Gary Gréwal, Miana Plesca:
Analyzing the Gender Wage Gap in Ontario's Public Sector. ICMLA 2015: 465-470 - [c35]Ryan Pattison, Christian Fobel, Gary William Grewal, Shawki Areibi:
Scalable analytic placement for FPGA on GPGPU. ReConFig 2015: 1-6 - 2014
- [j12]Robert Collier, Christian Fobel, Ryan Pattison, Gary Gréwal, Shawki Areibi, Peter Jamieson:
Advancing genetic algorithm approaches to field programmable gate array placement with enhanced recombination operators. Evol. Intell. 7(4): 183-200 (2014) - [c34]Christian Fobel, Gary William Grewal, Deborah Stacey:
A scalable, serially-equivalent, high-quality parallel placement methodology suitable for modern multicore and GPU architectures. FPL 2014: 1-8 - [c33]Christian Fobel, Gary William Grewal, Deborah Stacey:
Forward-scaling, serially equivalent parallelism for FPGA placement. ACM Great Lakes Symposium on VLSI 2014: 293-298 - [c32]Laura Richards, Luiza Antonie, Shawki Areibi, Gary William Grewal, Kris Inwood, J. Andrew Ross:
Comparing Classifiers in Historical Census Linkage. ICDM Workshops 2014: 1086-1094 - 2013
- [j11]Omar Ahmed, Shawki Areibi, Robert Collier, Gary William Grewal:
An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization. Int. J. Reconfigurable Comput. 2013: 130765:1-130765:23 (2013) - [j10]Omar Ahmed, Shawki Areibi, Gary William Grewal:
Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm. Int. J. Reconfigurable Comput. 2013: 681894:1-681894:33 (2013) - 2012
- [j9]Maxwell Walton, Omar Ahmed, Gary William Grewal, Shawki Areibi:
An Empirical Investigation on System and Statement Level Parallelism Strategies for Accelerating Scatter Search Using Handel-C and Impulse-C. VLSI Design 2012: 793196:1-793196:11 (2012) - [c31]Robert Collier, Christian Fobel, Laura Richards, Gary Gréwal:
A formal and empirical analysis of recombination for genetic algorithm-based approaches to the FPGA placement problem. CCECE 2012: 1-6 - [c30]Robert Collier, Christian Fobel, Gary William Grewal, Mark Wineberg:
Depictions of genotypic space for evaluating the suitability of different recombination operators. GECCO 2012: 609-616 - [c29]Samaneh Sheikh-Nia, Gary Gréwal, Shawki Areibi:
A Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalance Learning: A Case Study. ICMLA (2) 2012: 72-77 - [c28]Bazyli Debowski, Shawki Areibi, Gary Gréwal, J. Tempelman:
A Dynamic Sampling Framework for Multi-class Imbalanced Data. ICMLA (2) 2012: 113-118 - [c27]Christian Fobel, Gary Gréwal, Robert Collier, Deborah Stacey:
GPU Approach to FPGA placement based on star+. NEWCAS 2012: 229-232 - 2011
- [j8]M. Xu, Gary Gréwal, Shawki Areibi:
StarPlace: A new analytic method for FPGA placement. Integr. 44(3): 192-204 (2011) - [c26]Christian Fobel, Gary Gréwal, Deborah Stacey:
Using GPUs to accelerate FPGA wirelength estimate for use with complex search operators. CCECE 2011: 1129-1134 - [c25]N. Girard, William B. Gardner, John D. Carter, Gary Gréwal:
CellPilot: A Seamless Communication Solution for Hybrid Cell Clusters. ICPP Workshops 2011: 259-268 - 2010
- [c24]Ed Armstrong, Gary William Grewal, Shawki Areibi, Gerarda A. Darlington:
An investigation of parallel memetic algorithms for VLSI circuit partitioning on multi-core computers. CCECE 2010: 1-6 - [c23]Maxwell Walton, Gary Gréwal, Gerarda A. Darlington:
Parallel FPGA-based implementation of scatter search. GECCO 2010: 1075-1082 - [c22]Maxwell Walton, Gary William Grewal, Gerarda A. Darlington:
Hardware acceleration of Scatter Search. HPCS 2010: 436-443 - [c21]John D. Carter, William B. Gardner, Gary Gréwal:
The pilot approach to cluster programming in C. IPDPS Workshops 2010: 1-8 - [c20]John D. Carter, William B. Gardner, Gary Gréwal:
The pilot library for novice MPI programmers. PPoPP 2010: 351-352 - [c19]Ming Xu, Gary Gréwal:
A Graph-Based I/O Pad Pre-placement Technique for Use with Analytic FPGA Placement Methods. VLSI Design 2010: 63-68
2000 – 2009
- 2009
- [j7]Shawki Areibi, X. Bao, Gary Gréwal, Dilip K. Banerji, Peng Du:
Meta-Heuristic Based Techniques for FPGA Placement: A Study. Int. J. Comput. Their Appl. 16(1): 13-33 (2009) - [j6]Christian Fobel, Gary Gréwal, Andrew Morton:
Hardware accelerated FPGA placement. Microelectron. J. 40(11): 1667-1671 (2009) - [c18]Ming Xu, Gary Gréwal, Shawki Areibi, Charlie Obimbo, Dilip K. Banerji:
Near-linear wirelength estimation for FPGA placement. CCECE 2009: 1198-1203 - 2008
- [c17]Christian Fobel, Gary Gréwal:
A parallel Steiner tree heuristic for macro cell routing. ICCD 2008: 27-33 - 2007
- [j5]Gary Gréwal, Stelian Coros, Dilip K. Banerji, Andrew Morton:
Assigning data to dual memory banks in DSPs with a genetic algorithm using a repair heuristic. Appl. Intell. 26(1): 53-67 (2007) - 2006
- [j4]Gary Gréwal, Stelian Coros, Mario Ventresca:
A Memetic Algorithm for Performing Memory Assignment in Dual-Bank DSPs. Int. J. Comput. Intell. Appl. 6(4): 473-497 (2006) - [c16]Gary Gréwal, Stelian Coros, Dilip K. Banerji, Andrew Morton:
Comparing a Genetic Algorithm Penalty Function and Repair Heuristic in the DSP Application Domain. Artificial Intelligence and Applications 2006: 31-39 - [c15]Shouvik Chowdhury, Gary William Grewal, Dilip K. Banerji:
Clustering Hanan Points to Reduce Vlsi Interconnect Routing Times. CCECE 2006: 1223-1227 - [c14]Gary Gréwal, Stelian Coros, Dilip K. Banerji, Andrew Morton, Mario Ventresca:
Optimized Memory Assignment for DSPs. IEEE Congress on Evolutionary Computation 2006: 64-72 - 2004
- [c13]Peng Du, Gary William Grewal, Shawki Areibi, Dilip K. Banerji:
A Fast Hierarchical Approach to FPGA Placement. ESA/VLSI 2004: 497-503 - [c12]Gary William Grewal, Ming Xu, Charlie Obimbo:
An Approximate Solution for Steiner Trees in Multicast Routing. IC-AI 2004: 707-711 - [c11]Gary William Grewal, Thomas Charles Wilson, Ming Xu, Dilip K. Banerji:
Shrubbery: A New Algorithm for Quickly Growing High-Quality Steiner Trees. VLSI Design 2004: 855-862 - 2003
- [j3]Gary William Grewal, Thomas Charles Wilson:
Mapping Reference Code to Irregular DSPS within the Retargetable, Optimizing Compiler Cogen(T). Int. J. Comput. Intell. Appl. 3(1): 45-64 (2003) - [j2]Gary Gréwal, Thomas Charles Wilson, Andrew Morton:
An EGA approach to the compile-time assignment of data to multiple memories in digital-signal processors. SIGARCH Comput. Archit. News 31(1): 49-59 (2003) - [c10]Gary Gréwal, Mike O'Cleirigh, Mark Wineberg:
An evolutionary approach to behavioural-level synthesis. IEEE Congress on Evolutionary Computation 2003: 264-272 - [c9]Gary William Grewal, Mike O'Cleirigh, Charlie Obimbo:
Hierarchical Genetic Algorithms Applied to Datapath Synthesis. IC-AI 2003: 994-1002 - 2002
- [c8]Gary William Grewal, Thomas Charles Wilson, Christopher W. Nell:
An Enhanced Genetic Algorithm Approach to the Channel Assignment Problem in Mobile Cellular Networks. AI 2002: 325-333 - 2001
- [j1]Gary William Grewal, Thomas Charles Wilson:
An Enhanced Genetic Algorithm for Solving the High-Level Synthesis Problems of Scheduling, Allocation, and Binding. Int. J. Comput. Intell. Appl. 1(1): 91-110 (2001) - [c7]Gary William Grewal, Thomas Charles Wilson:
Mapping reference code to irregular DSPs within the retargetable, optimizing compiler COGEN(T). MICRO 2001: 192-202
1990 – 1999
- 1997
- [c6]Gary William Grewal, Thomas Charles Wilson:
An Enhanced Genetic Solution for Scheduling, Module Allocation, and Binding in VLSI Design. VLSI Design 1997: 51-56 - [c5]Thomas Charles Wilson, Gary William Grewal:
Shake And Bake: A Method of Mapping Code to Irregular DSPs. VLSI Design 1997: 506-508 - 1996
- [c4]Gary William Grewal:
A Global Mode Instruction Minimization Technique for Embedded DSPs. Great Lakes Symposium on VLSI 1996: 18- - 1994
- [c3]Thomas Charles Wilson, Gary William Grewal, Shawn Henshall, Dilip K. Banerji:
An ILP-based approach to code generation. Code Generation for Embedded Processors 1994: 103-118 - [c2]Thomas Charles Wilson, Gary William Grewal, Dilip K. Banerji:
An ILP Solution for Simultaneous Scheduling, Allocation, and Binding in Multiple Block Synthesis. ICCD 1994: 581-586 - [c1]Thomas Charles Wilson, Gary Gréwal, Ben Halley, Dilip K. Banerji:
An integrated approach to retargetable code generation. HLSS 1994: 70-75
Coauthor Index
Shawki Areibi
aka: Shawki M. Areibi
aka: Shawki M. Areibi
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