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Evaluation of dynamic scheduling methods in simulations of storm-time ion acceleration

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dc.contributor.author Riakiotakis, I en
dc.contributor.author Goumas, G en
dc.contributor.author Koziris, N en
dc.contributor.author Metallinou, F-A en
dc.contributor.author Daglis, IA en
dc.date.accessioned 2014-03-01T02:45:16Z
dc.date.available 2014-03-01T02:45:16Z
dc.date.issued 2008 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32242
dc.subject Dynamic Scheduling en
dc.subject Electric Field en
dc.subject Geomagnetic Activity en
dc.subject Geomagnetic Field en
dc.subject Ionosphere en
dc.subject Large Scale en
dc.subject Load Balance en
dc.subject Load Distribution en
dc.subject Loop Scheduling en
dc.subject Magnetic Field en
dc.subject Magnetic Storm en
dc.subject Magnetospheric Physics en
dc.subject Numerical Simulation en
dc.subject Space Weather en
dc.subject Solar Wind en
dc.subject.other Dynamic loop scheduling en
dc.subject.other Earth's magnetospheres en
dc.subject.other Parallel and distributed processing en
dc.subject.other Substorm en
dc.subject.other Computer networks en
dc.subject.other Computer simulation en
dc.subject.other Data storage equipment en
dc.subject.other Distributed parameter networks en
dc.subject.other Electric fields en
dc.subject.other Magnetosphere en
dc.subject.other Parallel processing systems en
dc.subject.other Numerical methods en
dc.title Evaluation of dynamic scheduling methods in simulations of storm-time ion acceleration en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IPDPS.2008.4536483 en
heal.identifier.secondary http://dx.doi.org/10.1109/IPDPS.2008.4536483 en
heal.identifier.secondary 4536483 en
heal.publicationDate 2008 en
heal.abstract In this paper we investigate the applicability of classic dynamic loop scheduling methods on a numerical simulation code that calculates the trajectories of charged particles in the earth's magnetosphere. The numerical application under consideration investigates the influence of substorm-induced electric fields that cause magnetospheric disturbances, responsible for severe hazards in human activities and technology infrastructures in the near-earth space environment. The computational time to simulate the motion of each particle is dependent on the inital conditions applied and may greatly vary between different particles. This fact leads to great load imbalances in parallel execution scenarios and thus to degraded overall performance. For this reason we apply dynamic scheduling techniques to load-balance the tasks in homogeneous, heterogeneous and loaded distributed-memory parallel platforms and select the most appropriate among the available strategies. ©2008 IEEE. en
heal.journalName IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM en
dc.identifier.doi 10.1109/IPDPS.2008.4536483 en


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