Eero Vainikko - Google Scholar Citations

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Satish Narayana SriramaInstitute of Computer Science, University of TartuVerified email at ut.ee
pelle jakovitsInstitute of Computer Science, University of TartuVerified email at ut.ee
I.G. Graham Professor of Numerical Analysis Verified email at bath.ac.uk
Robert ScheichlHeidelberg UniversityVerified email at uni-heidelberg.de
Ulrich NorbisrathProfessor, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Petter BjorstadUniversity of BergenVerified email at ii.uib.no
Amnir HadachiITS Lab, Institute of Computer Science, University of Tartu, EstoniaVerified email at ut.ee
Euan A SpenceReader in Mathematics, University of BathVerified email at bath.ac.uk
Matthias JarkeProfessor of Information Systems, RWTH Aachen UniversityVerified email at dbis.rwth-aachen.de
Alastair SpenceProfessor of Numerical Analysis, University of BathVerified email at bath.ac.uk
Dirk LewandowskiProfessor of Information Research and Information Retrieval, Hamburg University of Applied SciencesVerified email at haw-hamburg.de
Vladimir ŠorUniversity of TartuVerified email at ut.ee
Eike MuellerSenior Lecturer, University of BathVerified email at bath.ac.uk
Melina FreitagInstitute for Mathematics, University of PotsdamVerified email at uni-potsdam.de
Jüri VedruLecturer of biomedical engineering, University of Tartu, EstoniaVerified email at ut.ee
Tõnu Tammelecturer in theoretical informatics, University of TartuVerified email at ut.ee
Briti DebVerified email at alumni.unitn.it
Toivo VajakasResearcher at Reach-U Ltd, Tartu, EstoniaVerified email at reach-u.com
Georg SingerNone
Benson MuiteUniversity of TartuVerified email at ut.ee

Eero Vainikko

Professor of Distributed Systems, University of Tartu

Verified email at ut.ee - Homepage

Distributed Systems Parallel Computing High Performance Scientific Computing #unitartucs


Title	Cited by	Year
Adapting scientific computing problems to clouds using MapReduce SN Srirama, P Jakovits, E Vainikko Future Generation Computer Systems 28 (1), 184-192, 2012	177	2012
Additive Schwarz with aggregation-based coarsening for elliptic problems with highly variable coefficients R Scheichl, E Vainikko Computing 80 (4), 319-343, 2007	73	2007
Scicloud: Scientific computing on the cloud S Srirama, O Batrashev, E Vainikko Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster …, 2010	71	2010
Additive Schwarz methods without subdomain overlap and with new coarse spaces PE Bjørstad, M Dryja, E Vainikko Domain Decomposition Methods in Sciences and Engineering. John Wiley & Sons, 1997	39	1997
Scalability of parallel scientific applications on the cloud SN Srirama, O Batrashev, P Jakovits, E Vainikko Scientific Programming 19 (2), 91-105, 2011	38	2011
A spline product quasi-interpolation method for weakly singular Fredholm integral equations E Vainikko, G Vainikko SIAM J. Numer. Anal 46, 1799-1820, 2008	36	2008
Search-logger analyzing exploratory search tasks G Singer, U Norbisrath, E Vainikko, H Kikkas, D Lewandowski Proceedings of the 2011 ACM Symposium on Applied Computing, 751-756, 2011	32	2011
Scalable mobile web services mediation framework S Srirama, E Vainikko, V Sor, M Jarke Internet and Web Applications and Services (ICIW), 2010 Fifth International …, 2010	32	2010
Domain decomposition preconditioning for high-frequency Helmholtz problems with absorption I Graham, E Spence, E Vainikko Mathematics of Computation 86 (307), 2089-2127, 2017	23	2017
Cell phone subscribers mobility prediction using enhanced Markov Chain algorithm A Hadachi, O Batrashev, A Lind, G Singer, E Vainikko 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1049-1054, 2014	21	2014
Parallel iterative methods for Navier–Stokes equations and application to eigenvalue computation IG Graham, A Spence, E Vainikko Concurrency and Computation: Practice and Experience 15 (11‐12), 1151-1168, 2003	18	2003
Some numerical schemes for the identification of the filtration coefficient E Vainikko, G Vainikko Acta et comment. univ. Tartuensis 937, 90-102, 1992	12	1992
Recent Results on Domain Decomposition Preconditioning for the High-Frequency Helmholtz Equation Using Absorption IG Graham, EA Spence, E Vainikko Modern Solvers for Helmholtz Problems; Domenico Lahaye, Jok Tang, Kees Vuik …, 2017	11	2017
A parallel solver for PDE systems and application to the incompressible Navier-Stokes equations E Vainikko, IG Graham Applied numerical mathematics 49 (1), 97-116, 2004	11	2004
Petascale solvers for anisotropic PDEs in atmospheric modelling on GPU clusters EH Müller, R Scheichl, E Vainikko Parallel Computing 50, 53-69, 2015	10	2015
Friend-to-friend computing-instant messaging based spontaneous desktop grid U Norbisrath, K Kraaner, E Vainikko, O Batrasev Internet and Web Applications and Services, 2008. ICIW'08. Third …, 2008	10	2008
Robust aggregation-based coarsening for additive Schwarz in the case of highly variable coefficients R Scheichl, E Vainikko Proc. European Conference on Computational Fluid Dynamics, ECCOMAS CFD 2006, 2006	10	2006
Domain decomposition preconditioning for high-frequency Helmholtz problems using absorption IG Graham, EA Spence, E Vainikko ArXiv e-prints, 2015	9	2015
Supporting mobile web service provisioning with cloud computing SN Srirama, E Vainikko, M Jarke	9	2010
Rayleigh quotient iteration and simplified Jacobi-Davidson with preconditioned iterative solves for generalised eigenvalue problems MA Freitag, A Spence, E Vainikko Techn. report, Dept. of Math. Sciences, University of Bath, 2008	9	2008

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