Heterogeneous Computing and Multi-Clustering Support Via Peer-To-Peer HPC

Bilal Fakih, D. E. Baz
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引用次数: 3

Abstract

This paper aims at presenting Peer-To-Peer HPC a decentralized environment that facilitates the use of heterogeneous multi-cluster platform for loosely synchronous applications. The goal is to exploit all the computing resources (all the available cores of computing nodes) as well as all networks, e.g., Ethernet, Infiniband and Myrinet. Peer-To-Peer HPC functionality relies on a reconfigurable multi network protocol RMNP for controlling multiple network adapters and on OpenMP for the exploitation of all the available cores of computing nodes. We report on efficiency obtained with Grid5000 testbed by combining synchronous and asynchronous iterative schemes of computation with Peer-To-Peer HPC. The experimental results show that our environment scales well.
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基于点对点高性能计算的异构计算和多集群支持
本文旨在为点对点高性能计算提供一个分散的环境,以促进异构多集群平台在松散同步应用中的使用。目标是利用所有的计算资源(所有可用的计算节点核心)以及所有的网络,例如以太网、Infiniband和Myrinet。点对点HPC功能依赖于可重新配置的多网络协议RMNP来控制多个网络适配器,依赖于OpenMP来利用所有可用的计算节点核心。本文报道了Grid5000试验台将同步和异步迭代计算方案与点对点高性能计算相结合所获得的效率。实验结果表明,我们的环境具有良好的可扩展性。
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