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The effect of process topology and load balancing on parallel programming models for SMP clusters and iterative algorithms

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dc.contributor.author Drosinos, N en
dc.contributor.author Koziris, N en
dc.date.accessioned 2014-03-01T01:25:15Z
dc.date.available 2014-03-01T01:25:15Z
dc.date.issued 2006 en
dc.identifier.issn 0920-8542 en
dc.identifier.uri http://hdl.handle.net/123456789/17617
dc.subject High performance computing en
dc.subject Hybrid programming en
dc.subject Iterative algorithms en
dc.subject MPI en
dc.subject OpenMP en
dc.subject Parallel programming en
dc.subject SMP clusters en
dc.subject Tiling en
dc.subject.classification Computer Science, Hardware & Architecture en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.other Algorithms en
dc.subject.other Iterative methods en
dc.subject.other Optimization en
dc.subject.other Parallel processing systems en
dc.subject.other Process control en
dc.subject.other Topology en
dc.subject.other High performance computing en
dc.subject.other Hybrid programming en
dc.subject.other Iterative algorithms en
dc.subject.other MPI en
dc.subject.other OpenMP en
dc.subject.other Parallel programming en
dc.subject.other SMP clusters en
dc.subject.other Tiling en
dc.subject.other Computer systems programming en
dc.title The effect of process topology and load balancing on parallel programming models for SMP clusters and iterative algorithms en
heal.type journalArticle en
heal.identifier.primary 10.1007/s11227-006-1156-z en
heal.identifier.secondary http://dx.doi.org/10.1007/s11227-006-1156-z en
heal.language English en
heal.publicationDate 2006 en
heal.abstract This article focuses on the effect of both process topology and load balancing on various programming models for SMP clusters and iterative algorithms. More specifically, we consider nested loop algorithms with constant flow dependencies, that can be parallelized on SMP clusters with the aid of the tiling transformation. We investigate three parallel programming models, namely a popular message passing monolithic parallel implementation, as well as two hybrid ones, that employ both message passing and multi-threading. We conclude that the selection of an appropriate mapping topology for the mesh of processes has a significant effect on the overall performance, and provide an algorithm for the specification of such an efficient topology according to the iteration space and data dependencies of the algorithm. We also propose static load balancing techniques for the computation distribution between threads, that diminish the disadvantage of the master thread assuming all inter-process communication due to limitations often imposed by the message passing library. Both improvements are implemented as compile-time optimizations and are further experimentally evaluated. An overall comparison of the above parallel programming styles on SMP clusters based on micro-kernel experimental evaluation is further provided, as well. © 2006 Springer Science + Business Media, Inc. en
heal.publisher SPRINGER en
heal.journalName Journal of Supercomputing en
dc.identifier.doi 10.1007/s11227-006-1156-z en
dc.identifier.isi ISI:000232531800004 en
dc.identifier.volume 35 en
dc.identifier.issue 1 en
dc.identifier.spage 65 en
dc.identifier.epage 91 en


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