Marco Canini

Citado por

	Total	Desde 2020
Citas	7740	4496
Índice h	46	37
Índice i10	89	67

1000

500

250

750

2009201020112012201320142015201620172018201920202021202220232024202525 54 85 116 174 289 341 434 508 516 607 728 820 894 978 994 78

Acceso público

Ver todo

43 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Dejan KosticProfessor, KTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Stefan SchmidProfessor, Computer Science, TU Berlin & Weizenbaum Institute & Fraunhofer SITDirección de correo verificada de tu-berlin.de
Perešíni PeterComenius University, BratislavaDirección de correo verificada de uniba.sk
Panos KalnisProfessor of Computer Science, King Abdullah University of Science and Technology (KAUST)Dirección de correo verificada de kaust.edu.sa
Chen-Yu HoByteDance Inc.Dirección de correo verificada de bytedance.com
Dan LevinTU BerlinDirección de correo verificada de inet.tu-berlin.de
Anja FeldmannDirektor, Max Planck Institut für Informatik, Saarland Informatics Campus, Saarland UniversityDirección de correo verificada de mpi-inf.mpg.de
Jennifer RexfordProfessor of Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu
Andrew W. MooreUniversity of CambridgeDirección de correo verificada de cl.cam.ac.uk
Marco ChiesaKTH Royal Institute of TechnologyDirección de correo verificada de kth.se
Maciej KuzniarEPFL, SwitzerlandDirección de correo verificada de epfl.ch
Daniele VenzanoEurecomDirección de correo verificada de eurecom.fr
Peter RichtarikProfessor, KAUSTDirección de correo verificada de kaust.edu.sa
Amedeo SapioNVIDIADirección de correo verificada de nvidia.com
Fernando PedoneProfessor, Università della Svizzera italiana (USI)Dirección de correo verificada de usi.ch
Robert SouléAssociate Professor of Computer Science, Yale UniversityDirección de correo verificada de yale.edu
Waleed RedaMicrosoft ResearchDirección de correo verificada de microsoft.com
Raffaele BollaUniversity of GenoaDirección de correo verificada de unige.it
Nick FeamsterNeubauer Professor of Computer Science, University of ChicagoDirección de correo verificada de uchicago.edu
Aritra DuttaAssistant Professor, University of Central FloridaDirección de correo verificada de ucf.edu

Seguir

Marco Canini

KAUST

Dirección de correo verificada de kaust.edu.sa - Página principal

Systems Networking Distributed Systems Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A NICE Way to Test OpenFlow Applications M Canini, D Venzano, P Perešíni, D Kostić, J Rexford 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012	762	2012
Scaling distributed machine learning with in-network aggregation A Sapio, M Canini, CY Ho, J Nelson, P Kalnis, C Kim, A Krishnamurthy, ... NSDI, 2021	496	2021
Sonata: Query-driven streaming network telemetry A Gupta, R Harrison, M Canini, N Feamster, J Rexford, W Willinger Proceedings of the 2018 conference of the ACM special interest group on data …, 2018	406	2018
In-network computation is a dumb idea whose time has come A Sapio, I Abdelaziz, A Aldilaijan, M Canini, P Kalnis Proceedings of the 16th ACM Workshop on Hot Topics in Networks, 150-156, 2017	342	2017
C3: Cutting tail latency in cloud data stores via adaptive replica selection L Suresh, M Canini, S Schmid, A Feldmann 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2015	279	2015
Fattire: Declarative fault tolerance for software-defined networks M Reitblatt, M Canini, A Guha, N Foster Proceedings of the second ACM SIGCOMM workshop on Hot topics in software …, 2013	279	2013
Efficient application identification and the temporal and spatial stability of classification schema W Li, M Canini, AW Moore, R Bolla Computer Networks 53 (6), 790-809, 2009	254	2009
Netpaxos: Consensus at network speed HT Dang, D Sciascia, M Canini, F Pedone, R Soulé Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking …, 2015	229	2015
Panopticon: Reaping the Beneﬁts of Incremental SDN Deployment in Enterprise Networks D Levin, M Canini, S Schmid, F Schaffert, A Feldmann 2014 USENIX Annual Technical Conference (USENIX ATC 14), 333-345, 2014	217	2014
Natural compression for distributed deep learning S Horvóth, CY Ho, L Horvath, AN Sahu, M Canini, P Richtárik Mathematical and Scientific Machine Learning, 129-141, 2022	184	2022
Paxos made switch-y HT Dang, M Canini, F Pedone, R Soulé ACM SIGCOMM Computer Communication Review 46 (2), 18-24, 2016	161	2016
A distributed and robust SDN control plane for transactional network updates M Canini, P Kuznetsov, D Levin, S Schmid 2015 IEEE conference on computer communications (INFOCOM), 190-198, 2015	156	2015
A soft way for openflow switch interoperability testing M Kuzniar, P Peresini, M Canini, D Venzano, D Kostic Proceedings of the 8th international conference on Emerging networking …, 2012	148	2012
An {Industrial-Scale} Software Defined Internet Exchange Point A Gupta, R MacDavid, R Birkner, M Canini, N Feamster, J Rexford, ... 13th USENIX symposium on networked systems design and implementation (NSDI …, 2016	134	2016
Identifying and using energy-critical paths N Vasić, P Bhurat, D Novaković, M Canini, S Shekhar, D Kostić Proceedings of the seventh conference on emerging networking experiments and …, 2011	125	2011
P4xos: Consensus as a network service HT Dang, P Bressana, H Wang, KS Lee, N Zilberman, H Weatherspoon, ... IEEE/ACM Transactions on Networking 28 (4), 1726-1738, 2020	110	2020
Incremental SDN deployment in enterprise networks D Levin, M Canini, S Schmid, A Feldmann ACM SIGCOMM Computer Communication Review 43 (4), 473-474, 2013	105	2013
Efficient sparse collective communication and its application to accelerate distributed deep learning J Fei, CY Ho, AN Sahu, M Canini, A Sapio Proceedings of the 2021 ACM SIGCOMM 2021 Conference, 676-691, 2021	103	2021
Grace: A compressed communication framework for distributed machine learning H Xu, CY Ho, AM Abdelmoniem, A Dutta, EH Bergou, K Karatsenidis, ... 2021 IEEE 41st international conference on distributed computing systems …, 2021	103	2021
On the discrepancy between the theoretical analysis and practical implementations of compressed communication for distributed deep learning A Dutta, EH Bergou, AM Abdelmoniem, CY Ho, AN Sahu, M Canini, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3817-3824, 2020	101	2020

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores