FLEX-MPI: An MPI Extension for Supporting Dynamic Load Balancing on Heterogeneous Non-dedicated Systems

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/86889

dc.contributor	Barcelona Supercomputing Center
dc.contributor.author	Martin, Gonzalo
dc.contributor.author	Marinescu, Maria-Cristina
dc.contributor.author	Singh, David E.
dc.contributor.author	Carretero, Jesús
dc.date	2013
dc.identifier.citation	Martin, Gonzalo [et al.]. FLEX-MPI: An MPI Extension for Supporting Dynamic Load Balancing on Heterogeneous Non-dedicated Systems. A: 19th International Conference, Aachen, Germany, August 26-30, 2013. Proceedings. "Euro-Par 2013 Parallel Processing". Springer International Publishing, 2013, p. 138-149.
dc.identifier.citation	978-3-642-40046-9
dc.identifier.citation	10.1007/978-3-642-40047-6_16
dc.identifier.uri	http://hdl.handle.net/2117/86889
dc.language.iso	eng
dc.publisher	Springer International Publishing
dc.relation	http://link.springer.com/chapter/10.1007%2F978-3-642-40047-6_16
dc.relation	info:eu-repo/grantAgreement/ES/IPT-430000-2010-14
dc.relation	info:eu-repo/grantAgreement/EC/FP7/287759/EU/High Performance and Embedded Architecture and Compilation/HIPEAC
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica
dc.subject	Distributed computing
dc.subject	Data analysis series
dc.subject	Dynamic load balancing
dc.subject	Distributed computing
dc.subject	Heterogeneous systems
dc.subject	Hardware counters
dc.subject	Sistemes operatius distribuïts (Ordinadors)
dc.title	FLEX-MPI: An MPI Extension for Supporting Dynamic Load Balancing on Heterogeneous Non-dedicated Systems
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/bookPart
dc.description.abstract	This paper introduces FLEX-MPI, a novel runtime approach for the dynamic load balancing of MPI-based SPMD applications running on heterogeneous platforms in the presence of dynamic external loads. To effectively balance the workload, FLEX-MPI monitors the actual performance of applications via hardware counters and the MPI profiling interface—with a negligible overhead and minimal code modifications. Our results show that by using this approach the execution time of an application may be significantly reduced.
dc.description.abstract	This work has been partially supported by the Spanish Ministry of Science under the grant IPT-430000-2010-14.
dc.description.abstract	Peer Reviewed

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