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 |