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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
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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Submitted on : Thursday, September 5, 2013 - 7:41:47 AM
Last modification on : Thursday, October 21, 2021 - 3:51:38 AM
Long-term archiving on: : Thursday, April 6, 2017 - 3:21:50 PM


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  • HAL Id : hal-00858233, version 1



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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