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Reports (Research Report) Year : 2015

On the Use of Formal Grammars to Predict HPC I/O Behaviors

De l'Utilisation de Grammaires Formelles pour Prédire le Comportement des E/S en Calcul Hautes Performances

Abstract

The increasing gap between the computation performance of post-petascale machines and the performance of their I/O subsystem has motivated many I/O optimizations including prefetching, caching, and scheduling. In order to further improve these techniques, modeling and predicting spatial and temporal I/O patterns of HPC applications as they run has become crucial. In this paper we present Omnisc'IO, an approach that builds a grammar-based model of the I/O behavior of HPC applications and uses it to predict when future I/O operations will occur, and where and how much data will be accessed. To infer grammars, Omnisc'IO is based on StarSequitur, a novel algorithm extending Nevill-Manning's Sequitur algorithm. Omnisc'IO is transparently integrated into the POSIX and MPI I/O stacks and does not require any modification in applications or higher-level I/O libraries. It works without any prior knowledge of the application and converges to accurate predictions of any \emph{N} future I/O operations within a couple of iterations. Its implementation is efficient in both computation time and memory footprint.
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Dates and versions

hal-01149941 , version 1 (07-05-2015)
hal-01149941 , version 2 (14-08-2015)

Identifiers

  • HAL Id : hal-01149941 , version 2

Cite

Matthieu Dorier, Shadi Ibrahim, Gabriel Antoniu, Rob Ross. On the Use of Formal Grammars to Predict HPC I/O Behaviors. [Research Report] RR-8725, ENS Rennes; Inria Rennes Bretagne Atlantique; Argonne National Laboratory; INRIA. 2015. ⟨hal-01149941v2⟩
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