On issues concerning Cloud environments in scope of scalable multi-projection methods

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dc.contributor.authorMoutafis, Byron E.
dc.contributor.authorFilelis-Papadopoulos, Christos K.
dc.contributor.authorGravvanis, George A.
dc.contributor.authorMorrison, John P.
dc.contributor.funderHorizon 2020en
dc.date.accessioned2018-05-11T09:05:14Z
dc.date.available2018-05-11T09:05:14Z
dc.date.issued2016
dc.date.updated2018-05-11T08:41:41Z
dc.description.abstractOver the last decade, Cloud environments have gained significant attention by the scientific community, due to their flexibility in the allocation of resources and the various applications hosted in such environments. Recently, high performance computing applications are migrating to Cloud environments. Efficient methods are sought for solving very large sparse linear systems occurring in various scientific fields such as Computational Fluid Dynamics, N-Body simulations and Computational Finance. Herewith, the parallel multi-projection type methods are reviewed and discussions concerning the implementation issues for IaaS-type Cloud environments are given. Moreover, phenomena occurring due to the "noisy neighbor" problem, varying interconnection speeds as well as load imbalance are studied. Furthermore, the level of exposure of specialized hardware residing in modern CPUs through the different layers of software is also examined. Finally, numerical results concerning the applicability and effectiveness of multi-projection type methods in Cloud environments based on OpenStack are presented.en
dc.description.statusNot peer revieweden
dc.description.urihttps://synasc.ro/2016/index.htmlen
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMoutafis, B. E., Filelis-Papadopoulos, C. K., Gravvanis, G. A. and Morrison, J. P. (2016) 'On issues concerning Cloud environments in scope of scalable multi-projection methods', 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) Timisoara, Romania, 24-27 September. doi:10.1109/SYNASC.2016.061en
dc.identifier.doi10.1109/SYNASC.2016.061
dc.identifier.endpage350en
dc.identifier.issn2470-881X
dc.identifier.startpage343en
dc.identifier.urihttps://hdl.handle.net/10468/6081
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/643946/EU/Self-Organising, Self-Managing Heterogeneous Cloud/CloudLightningen
dc.rights© 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectCloud computingen
dc.subjectSemi-coarseningen
dc.subjectAggregationen
dc.subjectAlgebraic domain decompositionen
dc.subjectHigh performance computingen
dc.subjectParallel hybrid solveren
dc.subjectSparse and dense matrix computationsen
dc.subjectHardwareen
dc.subjectLinear systemsen
dc.subjectVirtual machine monitorsen
dc.subjectVirtual machiningen
dc.subjectNoise measurementen
dc.titleOn issues concerning Cloud environments in scope of scalable multi-projection methodsen
dc.typeConference itemen
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