Show simple item record

dc.contributor.authorRico, Alejandro
dc.contributor.authorSánchez Barrera, Isaac
dc.contributor.authorJoao, Jose A.
dc.contributor.authorRandall, Joshua
dc.contributor.authorCasas, Marc
dc.contributor.authorMoreto Planas, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationRico, A. [et al.]. On the benefits of tasking with OpenMP. A: International Workshop on OpenMP. "OpenMP: Conquering the Full Hardware Spectrum: 15th International Workshop on OpenMP, IWOMP 2019: Auckland, New Zealand: September 11-13, 2019: proceedings". Berlín: Springer, 2019, p. 217-230.
dc.description.abstractTasking promises a model to program parallel applications that provides intuitive semantics. In the case of tasks with dependences, it also promises better load balancing by removing global synchronizations (barriers), and potential for improved locality. Still, the adoption of tasking in production HPC codes has been slow. Despite OpenMP supporting tasks, most codes rely on worksharing-loop constructs alongside MPI primitives. This paper provides insights on the benefits of tasking over the worksharing-loop model by reporting on the experience of taskifying an adaptive mesh refinement proxy application: miniAMR. The performance evaluation shows the taskified implementation being 15–30% faster than the loop-parallel one for certain thread counts across four systems, three architectures and four compilers thanks to better load balancing and system utilization. Dynamic scheduling of loops narrows the gap but still falls short of tasking due to serial sections between loops. Locality improvements are incidental due to the lack of locality-aware scheduling. Overall, the introduction of asynchrony with tasking lives up to its promises, provided that programmers parallelize beyond individual loops and across application phases.
dc.format.extent14 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles
dc.subject.lcshParallel programming (Computer science)
dc.titleOn the benefits of tasking with OpenMP
dc.typeConference report
dc.subject.lemacProgramació en paral·lel (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/779877/EU/Mont-Blanc 2020, European scalable, modular and power efficient HPC processor/Mont-Blanc 2020
upcommons.citation.authorRico, A.; Sánchez Barrera, I.; Joao, J.; Randall, J.; Casas, M.; Moreto, M.
upcommons.citation.contributorInternational Workshop on OpenMP
upcommons.citation.publicationNameOpenMP: Conquering the Full Hardware Spectrum: 15th International Workshop on OpenMP, IWOMP 2019: Auckland, New Zealand: September 11-13, 2019: proceedings

Files in this item


This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder