Le problème de la composition parallèle : une approche supervisée

Andra-Ecaterina Hugo 1, 2
1 RUNTIME - Efficient runtime systems for parallel architectures
Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800
Abstract : Enabling HPC applications to perform efficiently when invoking multiple parallel libraries simultaneously is a great challenge. Even if a single runtime system is used underneath, scheduling tasks or threads coming from different libraries over the same set of hardware resources introduce many issues, such as resource oversubscription, undesirable cache flushes or memory bus contention. This paper presents an extension of starpu, a runtime system specifically designed for heterogeneous architectures, that allows multiple parallel codes to run concurrently with minimal interference. Such parallel codes run within \emph{scheduling contexts} that provide confined execution environments which can be used to partition computing resources. Scheduling contexts can be dynamically resized to optimize the allocation of computing resources among concurrently running libraries. We introduce a \emph{hypervisor} that automatically expands or shrinks contexts using feedback from the runtime system (e.g. resource utilization). We demonstrate the relevance of our approach using benchmarks invoking multiple high performance linear algebra kernels simultaneously on top of heterogeneous multicore machines. We show that our mechanism can dramatically improve the overall application run time (-34%), most notably by reducing the average cache miss ratio (-50%).
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Andra-Ecaterina Hugo. Le problème de la composition parallèle : une approche supervisée. RenPAR - 21e Rencontres Francophones du Parallélisme (2013), Jan 2013, Grenoble, France. ⟨hal-00773610⟩

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