Aftermath: Performance analysis of task-parallel applications on many-core NUMA systems

Andi Drebes 1 Karine Heydemann 1 Nathalie Drach 1 Pop Antoniu 2 Albert Cohen 3
1 ALSOC - Architecture et Logiciels pour Systèmes Embarqués sur Puce
LIP6 - Laboratoire d'Informatique de Paris 6
3 Parkas - Parallélisme de Kahn Synchrone
DI-ENS - Département d'informatique de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR 8548
Abstract : We show how to analyze the locality of memory accesses using Aftermath, an open source tool for interactive, off-line trace visualization and performance analysis of task-parallel programs and run-time systems executing on multi-core and many-core systems. In order to help users detect performance anomalies and pinpoint the exact cause, Aftermath offers adequate visual representations of dynamic events for informal exploration as well statistical tools and filters that provide accurate values for performance indicators. In this paper we give an overview of the capabilities of Aftermath to analyze the locality of memory accesses with respect to NUMA.
Type de document :
Poster
Tenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Jul 2014, Fiuggi, Italy. 2014
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https://hal.archives-ouvertes.fr/hal-01136519
Contributeur : Andi Drebes <>
Soumis le : vendredi 27 mars 2015 - 14:30:19
Dernière modification le : dimanche 22 octobre 2017 - 01:08:30

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  • HAL Id : hal-01136519, version 1

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UPMC | LIP6 | INRIA | PSL

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Andi Drebes, Karine Heydemann, Nathalie Drach, Pop Antoniu, Albert Cohen. Aftermath: Performance analysis of task-parallel applications on many-core NUMA systems . Tenth International Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Jul 2014, Fiuggi, Italy. 2014. 〈hal-01136519〉

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