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Analyse et modélisation des communications concurrentes dans les réseaux haute performance

Abstract : Improving processor capabilities by increasing the number of cores produces sharing effects over computer components among core requests. Furthermore, parallel applications from scientific fields attempt to
fully exploit the resources of parallel architectures. Therefore, understanding resource-sharing phenomenon becomes one major issue for actual parallel architectures.
These new behaviours of resource sharing are hard to analyse and to predict. In this work, we study the problem of network sharing. Clusters use dedicated high performance networks such as Gigabit Ethernet, Myrinet or Quadrics. Simultaneous executions of application tasks create concurrent access over the network. Their effects lead to performance leaks because of bandwidth network segmentation among communications.
In this context, we present a deep analysis of concurrent behaviours for Quadrics, Myrinet and Gigabit Ethernet. This analysis aims to the definition of predictive models based on the concept of bandwidth sharing. In addition, we integrate such models in a simulation process for predicting concurrent communication impacts resulting of scientific application runs. Predicting concurrent behaviour leads, in scientific and technologic areas, to a better knowledge of application needs and, in industrial context, to advance cluster solutions adjusted to customer requirements.
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Submitted on : Tuesday, July 24, 2007 - 6:56:44 PM
Last modification on : Thursday, October 21, 2021 - 3:53:28 AM
Long-term archiving on: : Monday, September 24, 2012 - 11:21:14 AM


  • HAL Id : tel-00165164, version 1



Maxime Martinasso. Analyse et modélisation des communications concurrentes dans les réseaux haute performance. Réseaux et télécommunications [cs.NI]. Université Joseph-Fourier - Grenoble I, 2007. Français. ⟨tel-00165164⟩



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