Mahantesh Halappanavar

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

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Mahantesh Halappanavar

Chief Data Scientist & Group Leader, Pacific Northwest National Laboratory

Verifierad e-postadress på pnnl.gov - Startsida

Graph algorithms parallel computing artificial intelligence machine learning combinatorial optmz


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Parallel heuristics for scalable community detection H Lu, M Halappanavar, A Kalyanaraman Parallel Computing 47, 19-37, 2015	263	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	175	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	114	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	112	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	86	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	60	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	41	2011
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
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	39	2019
Algorithms for vertex-weighted matching in graphs M Halappanavar Old Dominion University, 2009	34	2009
Scaling Up Coordinate Descent Algorithms for Large Regularization Problems C Scherrer, M Halappanavar, A Tewari, D Haglin arXiv preprint arXiv:1206.6409, 2012	32	2012
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	31	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	31	2013

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