Mahantesh Halappanavar

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Ananth KalyanaramanWashington State University, Pacific Northwest National LaboratoryVerified email at wsu.edu
Alex PothenProfessor of Computer Science, Purdue UniversityVerified email at purdue.edu
Antonino TumeoPacific Northwest National LaboratoryVerified email at pnnl.gov
Arif KhanMachine Learning Engineer, Meta Platforms IncVerified email at meta.com
Assefaw GebremedhinWashington State University, School of EECSVerified email at eecs.wsu.edu
Samrat ChatterjeeChief Data Scientist & Team Lead, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Sayan GhoshComputer Scientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Marco MinutoliPacific Northwest National LaboratoryVerified email at pnnl.gov
Hao LuOak Ridge National labVerified email at ornl.gov
Daniel Chavarría-MirandaResearch Scientist, Pacific Northwest National LaboratoryVerified email at pnl.gov
John FeoPacific Northwest National LaboratoryVerified email at pnnl.gov
Fredrik ManneDepartment of Informatics, University of BergenVerified email at ii.uib.no
Arun V SathanurPrincipal Data Scientist, Optimization and Predictive Analytics for Walmart Supply ChainVerified email at walmart.com
Nathan R. TallentPacific Northwest National LaboratoryVerified email at pnnl.gov
Ariful AzadTexas A&M UniversityVerified email at tamu.edu
Jan DrgonaPacific Northwest National Laboratory, Richland, WA, United StatesVerified email at pnnl.gov
Edoardo SerraBoise State UniversityVerified email at boisestate.edu
Sai MunikotiData Scientist, Pacific Northwest National LabVerified email at pnnl.gov
S M FerdousData Scientist and Pauling Fellow, PNNLVerified email at pnnl.gov
Frank LiuSchool of Data Science, Old Dominion UniversityVerified email at odu.edu

Mahantesh Halappanavar

Chief Data Scientist & Group Leader, Pacific Northwest National Laboratory

Verified email at pnnl.gov - Homepage

Graph algorithms parallel computing artificial intelligence machine learning combinatorial optmz


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Parallel heuristics for scalable community detection H Lu, M Halappanavar, A Kalyanaraman Parallel Computing 47, 19-37, 2015	262	2015
Distributed louvain algorithm for graph community detection S Ghosh, M Halappanavar, A Tumeo, A Kalyanaraman, H Lu, ... 2018 IEEE international parallel and distributed processing symposium (IPDPS …, 2018	173	2018
Exascale applications: skin in the game F Alexander, A Almgren, J Bell, A Bhattacharjee, J Chen, P Colella, ... Philosophical Transactions of the Royal Society A 378 (2166), 20190056, 2020	115	2020
Graph coloring algorithms for multi-core and massively multithreaded architectures ÜV Çatalyürek, J Feo, AH Gebremedhin, M Halappanavar, A Pothen Parallel Computing 38 (10-11), 576-594, 2012	111	2012
Feature clustering for accelerating parallel coordinate descent C Scherrer, A Tewari, M Halappanavar, D Haglin Advances in Neural Information Processing Systems 25, 2012	100	2012
Challenges and opportunities in deep reinforcement learning with graph neural networks: A comprehensive review of algorithms and applications S Munikoti, D Agarwal, L Das, M Halappanavar, B Natarajan IEEE transactions on neural networks and learning systems, 2023	82	2023
V2w-bert: A framework for effective hierarchical multiclass classification of software vulnerabilities SS Das, E Serra, M Halappanavar, A Pothen, E Al-Shaer 2021 IEEE 8th International Conference on Data Science and Advanced …, 2021	70	2021
New effective multithreaded matching algorithms F Manne, M Halappanavar 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014	66	2014
Scalable static and dynamic community detection using grappolo M Halappanavar, H Lu, A Kalyanaraman, A Tumeo 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2017	61	2017
Efficient Approximation Algorithms for Weighted -Matching A Khan, A Pothen, M Mostofa Ali Patwary, NR Satish, N Sundaram, ... SIAM Journal on Scientific Computing 38 (5), S593-S619, 2016	56	2016
Approximate weighted matching on emerging manycore and multithreaded architectures M Halappanavar, J Feo, O Villa, A Tumeo, A Pothen The International Journal of High Performance Computing Applications 26 (4 …, 2012	52	2012
Multithreaded algorithms for maximum matching in bipartite graphs A Azad, M Halappanavar, S Rajamanickam, EG Boman, A Khan, ... 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012	47	2012
Community detection on the GPU M Naim, F Manne, M Halappanavar, A Tumeo 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017	44	2017
Distributed-memory parallel algorithms for matching and coloring ÜV Çatalyürek, F Dobrian, A Gebremedhin, M Halappanavar, A Pothen 2011 IEEE international symposium on parallel and distributed processing …, 2011	42	2011
A generative graph model for electrical infrastructure networks SG Aksoy, E Purvine, E Cotilla-Sanchez, M Halappanavar Journal of complex networks 7 (1), 128-162, 2019	40	2019
A multithreaded algorithm for network alignment via approximate matching AM Khan, DF Gleich, A Pothen, M Halappanavar SC'12: Proceedings of the International Conference on High Performance …, 2012	40	2012
Scaling Up Coordinate Descent Algorithms for Large Regularization Problems C Scherrer, M Halappanavar, A Tewari, D Haglin arXiv preprint arXiv:1206.6409, 2012	37	2012
Algorithms for vertex-weighted matching in graphs M Halappanavar Old Dominion University, 2009	33	2009
Algorithms for balanced graph colorings with applications in parallel computing H Lu, M Halappanavar, D Chavarria-Miranda, AH Gebremedhin, ... IEEE Transactions on Parallel and Distributed Systems 28 (5), 1240-1256, 2016	32	2016
Towards a theory of autonomous reconstitution of compromised cyber-systems P Ramuhalli, M Halappanavar, J Coble, M Dixit 2013 IEEE International Conference on Technologies for Homeland Security …, 2013	32	2013

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