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Palirria: accurate on-line parallelism estimation for adaptive work-stealing
KTH Royal Institute of Technology, Sweden.
RISE, Swedish ICT, SICS. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0002-9637-2065
2016 (English)In: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634, Vol. 28, no 2, p. 472-491Article in journal (Refereed) Published
Abstract [en]

Summary We present Palirria, a self-adapting work-stealing scheduling method for nested fork/join parallelism that can be used to estimate the number of utilizable workers and self-adapt accordingly. The estimation mechanism is optimized for accuracy, minimizing the requested resources without degrading performance. We implemented Palirria for both the Linux and Barrelfish operating systems and evaluated it on two platforms: a 48-core Non-Uniform Memory Access (NUMA) multiprocessor and a simulated 32-core system. Compared with state-of-the-art, we observed higher accuracy in estimating resource requirements. This leads to improved resource utilization and performance on par or better to executing with fixed resource allotments.

Place, publisher, year, edition, pages
John Wiley and Sons Ltd , 2016. Vol. 28, no 2, p. 472-491
Keywords [en]
adaptive, load balancing, multicore, parallel, resource management, runtime, scheduler, task, work-stealing, workload, Computer operating systems, Resource allocation, Scheduling, Multi core, Runtimes, Network management
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-41869DOI: 10.1002/cpe.3630Scopus ID: 2-s2.0-84956796768OAI: oai:DiVA.org:ri-41869DiVA, id: diva2:1377766
Available from: 2019-12-12 Created: 2019-12-12 Last updated: 2019-12-12Bibliographically approved

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Brorsson, Mats

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