A Proof of Concept for Optimizing Task Parallelism by Locality Queues

dc.creatorWittmann, Markus
dc.creatorHager, Georg
dc.date2009-02-11
dc.date.accessioned2026-07-07T12:40:36Z
dc.date.available2026-07-07T12:40:36Z
dc.descriptionTask parallelism as employed by the OpenMP task construct, although ideal for tackling irregular problems or typical producer/consumer schemes, bears some potential for performance bottlenecks if locality of data access is important, which is typically the case for memory-bound code on ccNUMA systems. We present a programming technique which ameliorates adverse effects of dynamic task distribution by sorting tasks into locality queues, each of which is preferably processed by threads that belong to the same locality domain. Dynamic scheduling is fully preserved inside each domain, and is preferred over possible load imbalance even if non-local access is required. The effectiveness of the approach is demonstrated using a blocked six-point stencil solver as a toy model.
dc.description8 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/0902.1884
dc.identifierhttp://arxiv.org/abs/0902.1884
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/219489
dc.subjectPerformance
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectD.1.3
dc.titleA Proof of Concept for Optimizing Task Parallelism by Locality Queues
dc.typetext

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