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

Bilal Fakih (1) , Didier El Baz (1)

1 LAAS-CDA - Équipe Calcul Distribué et Asynchronisme

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.

Mots clés: computing environment; multi-cluster computing; multi-threading; peer-to-peer computing; distributed comput- ing; High Performance Computing; loosely synchronous appli- cations

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

Bilal Fakih, Didier El Baz. Heterogeneous Computing and Multi-Clustering Support Via Peer-To-Peer HPC. 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), Mar 2018, Cambridge, United Kingdom. pp.292-296, ⟨10.1109/PDP2018.2018.00050⟩. ⟨hal-02091706⟩