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Master thesis

Utilisation efficace des accélérateurs GPU -- Ordonnancement sur machines hybrides

Raphaël Bleuse 1, *
* Corresponding author
1 MOAIS - PrograMming and scheduling design fOr Applications in Interactive Simulation
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble [2007-2015]
Abstract : The race for ever more computing power raises the issue of supercomputers' power consumption. Heterogeneous architectures - composed of processor and GPU accelerators - seem to be a promising answer. Scheduling on such machines is nowadays relying on the programmer's skill set and made in a static way. We study the problem of scheduling of independent tasks on such architectures. We propose a bi-objective approximation algorithm which simultaneously optimizes the makespan and the affinity. The provided algorithm has a low complexity. We then validate the performance of its implementation within the framework XKaapi.
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https://hal.inria.fr/hal-00858233
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Submitted on : Thursday, September 5, 2013 - 7:41:47 AM
Last modification on : Thursday, July 9, 2020 - 9:44:35 AM
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Raphaël Bleuse. Utilisation efficace des accélérateurs GPU -- Ordonnancement sur machines hybrides. Calcul parallèle, distribué et partagé [cs.DC]. 2013. ⟨hal-00858233⟩

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