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 KhanScientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
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
Daniel Chavarría-MirandaResearch Scientist, Pacific Northwest National LaboratoryVerified email at pnl.gov
John FeoPacific Northwest National LaboratoryVerified email at pnnl.gov
Hao LuOak Ridge National labVerified email at ornl.gov
Fredrik ManneDepartment of Informatics, University of BergenVerified email at ii.uib.no
Arun V SathanurPrincipal Data Scientist, Walmart CENTROIDVerified email at walmart.com
Marco MinutoliPacific Northwest National LaboratoryVerified email at pnnl.gov
Nathan R. TallentPacific Northwest National LaboratoryVerified email at pnnl.gov
Emilie Hogan PurvineSenior Data Scientist, Pacific Northwest National LaboratoryVerified email at pnnl.gov
Ariful AzadIndiana UniversityVerified email at iu.edu
Zhenyu (Henry) HuangPacific Northwest National LaboratoryVerified email at pnnl.gov
Ümit V. ÇatalyürekProfessor, Computational Science and Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
David J. HaglinChief Technology Officer, Trovares Inc.Verified email at trovares.com
Ramakrishna TipireddyPalo Alto NetworksVerified email at paloaltonetworks.com

Mahantesh Halappanavar

Chief Scientist & Group Leader, Pacific Northwest National Laboratory

Verified email at pnnl.gov - Homepage

graph algorithms parallel computing artificial intelligence and machine learning combinatorial scientific computing cyber se


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Parallel heuristics for scalable community detection H Lu, M Halappanavar, A Kalyanaraman Parallel Computing 47, 19-37, 2015	204	2015
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	99	2012
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	98	2018
Feature clustering for accelerating parallel coordinate descent C Scherrer, A Tewari, M Halappanavar, D Haglin Advances in Neural Information Processing Systems 25, 2012	98	2012
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	73	2020
New effective multithreaded matching algorithms F Manne, M Halappanavar 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014	57	2014
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	47	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	45	2012
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	44	2016
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	42	2017
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
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	37	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	33	2012
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	30	2013
Algorithms for vertex-weighted matching in graphs MM Halappanavar Old Dominion University, 2009	30	2009
Community detection on the GPU M Naim, F Manne, M Halappanavar, A Tumeo 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017	27	2017
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	25	2016
Balanced coloring for parallel computing applications H Lu, M Halappanavar, D Chavarría-Miranda, A Gebremedhin, ... 2015 IEEE International Parallel and Distributed Processing Symposium, 7-16, 2015	25	2015
A generative graph model for electrical infrastructure networks SG Aksoy, E Purvine, E Cotilla-Sanchez, M Halappanavar, R Lambiotte Journal of complex networks 7 (1), 128-162, 2018	23	2018
Scaling graph community detection on the tilera many-core architecture D Chavarria-Miranda, M Halappanavar, A Kalyanaraman 2014 21st International Conference on High Performance Computing (HiPC), 1-11, 2014	23	2014

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