Konstantinos Karanasos

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Carlo Aldo CurinoPartner Scientist Group Manager --- GSL MicrosoftAdresse e-mail validée de microsoft.com
Ioana ManolescuSenior researcher, Inria Saclay; part-time professor, Ecole polytechnique, FranceAdresse e-mail validée de inria.fr
Matteo InterlandiMicrosoftAdresse e-mail validée de microsoft.com
Sriram RaoMicrosoftAdresse e-mail validée de microsoft.com
Raghu RamakrishnanMicrosoftAdresse e-mail validée de microsoft.com
Julien LeblayResearch scientist, AISTAdresse e-mail validée de aist.go.jp
François GoasdouéProfessor of Computer Science, Univ Rennes, CNRS, IRISAAdresse e-mail validée de irisa.fr
Alekh JindalCEO and Co-founder, Tursio Inc.Adresse e-mail validée de tursio.ai
Chris DouglasUC BerkeleyAdresse e-mail validée de berkeley.edu
Panagiotis GarefalakisImperial College LondonAdresse e-mail validée de imperial.ac.uk
Jesús Camacho-RodríguezPrincipal Engineering Manager, MicrosoftAdresse e-mail validée de microsoft.com
Peter PietzuchProfessor of Distributed Systems, Imperial College LondonAdresse e-mail validée de imperial.ac.uk
Stamatis ZampetakisStaff Software Engineer, Cloudera, FranceAdresse e-mail validée de cloudera.com
Rodrigo FonsecaSenior Principal Research Manager, Microsoft ResearchAdresse e-mail validée de microsoft.com
Srikanth KandulaAmazon Web ServicesAdresse e-mail validée de amazon.com
Milan VojnovicProfessor, Department of Statistics, LSEAdresse e-mail validée de lse.ac.uk
Asterios KatsifodimosAsst. Professor at TU DelftAdresse e-mail validée de tudelft.nl
P. Brighten GodfreyUniversity of Illinois at Urbana-Champaign and VMwareAdresse e-mail validée de illinois.edu
Jitendra PadhyeMicrosoft ResearchAdresse e-mail validée de microsoft.com
Ashish VulimiriSamsung Research AmericaAdresse e-mail validée de illinois.edu

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Konstantinos Karanasos

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Databases Query processing Query optimization Systems for ML Cluster resource management


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Mercury: Hybrid centralized and distributed scheduling in large shared clusters K Karanasos, S Rao, C Curino, C Douglas, K Chaliparambil, ... 2015 USENIX Annual Technical Conference (USENIX ATC 15), 485-497, 2015	249	2015
Wanalytics: Geo-distributed analytics for a data intensive world A Vulimiri, C Curino, PB Godfrey, T Jungblut, K Karanasos, J Padhye, ... Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015	193	2015
Efficient queue management for cluster scheduling J Rasley, K Karanasos, S Kandula, R Fonseca, M Vojnovic, S Rao Proceedings of the Eleventh European Conference on Computer Systems, 1-15, 2016	144	2016
Medea scheduling of long running applications in shared production clusters P Garefalakis, K Karanasos, P Pietzuch, A Suresh, S Rao Proceedings of the thirteenth EuroSys conference, 1-13, 2018	139	2018
View selection in semantic web databases F Goasdoué, K Karanasos, J Leblay, I Manolescu arXiv preprint arXiv:1110.6648, 2011	135	2011
Selecting subexpressions to materialize at datacenter scale A Jindal, K Karanasos, S Rao, H Patel Proceedings of the VLDB Endowment 11 (7), 800-812, 2018	125	2018
Hydra: a federated resource manager for data-center scale analytics C Curino, S Krishnan, K Karanasos, S Rao, GM Fumarola, B Huang, ... 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2019	90	2019
Extending relational query processing with ML inference K Karanasos, M Interlandi, D Xin, F Psallidas, R Sen, K Park, I Popivanov, ... arXiv preprint arXiv:1911.00231, 2019	89	2019
Computation reuse in analytics job service at microsoft A Jindal, S Qiao, H Patel, Z Yin, J Di, M Bag, M Friedman, Y Lin, ... Proceedings of the 2018 International Conference on Management of Data, 191-203, 2018	76	2018
Data science through the looking glass: Analysis of millions of github notebooks and ml. net pipelines F Psallidas, Y Zhu, B Karlas, J Henkel, M Interlandi, S Krishnan, B Kroth, ... ACM SIGMOD Record 51 (2), 30-37, 2022	64	2022
A tensor compiler for unified machine learning prediction serving S Nakandala, K Saur, GI Yu, K Karanasos, C Curino, M Weimer, ... 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020	62	2020
Fact checking and analyzing the web F Goasdoué, K Karanasos, Y Katsis, J Leblay, I Manolescu, S Zampetakis Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013	52	2013
End-to-end optimization of machine learning prediction queries K Park, K Saur, D Banda, R Sen, M Interlandi, K Karanasos Proceedings of the 2022 International Conference on Management of Data, 587-601, 2022	48	2022
Dynamically optimizing queries over large scale data platforms K Karanasos, A Balmin, M Kutsch, F Ozcan, V Ercegovac, C Xia, ... Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	46	2014
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ... arXiv preprint arXiv:1909.00084, 2019	39	2019
Query processing on tensor computation runtimes D He, S Nakandala, D Banda, R Sen, K Saur, K Park, C Curino, ... arXiv preprint arXiv:2203.01877, 2022	38	2022
Efficient XQuery rewriting using multiple views I Manolescu, K Karanasos, V Vassalos, S Zoupanos 2011 IEEE 27th International Conference on Data Engineering, 972-983, 2011	34	2011
Unearthing inter-job dependencies for better cluster scheduling A Chung, S Krishnan, K Karanasos, C Curino, GR Ganger 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020	32	2020
Neptune: Scheduling suspendable tasks for unified stream/batch applications P Garefalakis, K Karanasos, P Pietzuch Proceedings of the ACM symposium on cloud computing, 233-245, 2019	32	2019
Tensors: An abstraction for general data processing D Koutsoukos, S Nakandala, K Karanasos, K Saur, G Alonso, M Interlandi Proceedings of the VLDB Endowment 14 (10), 1797-1804, 2021	30	2021

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