Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning

This paper introduces a resource allocation framework specifically tailored for addressing the problem of dynamic placement (or pinning) of parallelized applications to processing units. Under the proposed setup each thread of the parallelized application constitutes an independent decision maker (o...

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Vydáno v:	International journal of parallel programming Ročník 47; číslo 1; s. 24 - 38
Hlavní autoři:	Chasparis, Georgios C., Rossbory, Michael
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.02.2019 Springer Nature B.V
Témata:	Affinity Central processing units Computer Science CPUs Decision making Machine learning Parallel processing Placement Processor Architectures Resource allocation Resource scheduling Software Engineering/Programming and Operating Systems Special Issue on High-Level Programming for Heterogeneous Parallel Systems Theory of Computation Dynamic pinning Reinforcement learning Parallel applications
ISSN:	0885-7458, 1573-7640
On-line přístup:	Získat plný text
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