Task Scheduling in Hybrid CPU-GPU Systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10124108" target="_blank" >RIV/00216208:11320/12:10124108 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Task Scheduling in Hybrid CPU-GPU Systems

Popis výsledku v původním jazyce

The distribution of workload among available computational units is an essential problem for every parallel system. It has been attended thoroughly from many perspectives, such as thread scheduling in operating systems, task scheduling in frameworks forparallel computations, or constrained scheduling in real-time systems. However, each system has unique properties and requirements, thus we cannot design a universal scheduler which would accommodate all of them. In this paper, we propose methods for task scheduling in parallel frameworks that process highly heterogeneous tasks that consists of both computational and CPU-blocking operations. Furthermore, we extend the idea of heterogeneous tasks to design combined scheduler for multi-core CPUs and many-core GPUs. Our methods significantly increase the utilization of hardware resources, which leads to improvement of speedup and throughput.

Název v anglickém jazyce

Task Scheduling in Hybrid CPU-GPU Systems

Popis výsledku anglicky

The distribution of workload among available computational units is an essential problem for every parallel system. It has been attended thoroughly from many perspectives, such as thread scheduling in operating systems, task scheduling in frameworks forparallel computations, or constrained scheduling in real-time systems. However, each system has unique properties and requirements, thus we cannot design a universal scheduler which would accommodate all of them. In this paper, we propose methods for task scheduling in parallel frameworks that process highly heterogeneous tasks that consists of both computational and CPU-blocking operations. Furthermore, we extend the idea of heterogeneous tasks to design combined scheduler for multi-core CPUs and many-core GPUs. Our methods significantly increase the utilization of hardware resources, which leads to improvement of speedup and throughput.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Zborník príspevkov prezentovaných na konferencii Informačné technológie - Aplikácie a Teória, ITAT 2012

ISBN

978-80-971144-1-1

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

17-24

Název nakladatele

PONT s. r. o.

Místo vydání

neuveden

Místo konání akce

Monkova dolina, Slovensko

Datum konání akce

17. 9. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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