Fast and Efficient Total Exchange on Two Clusters
Résumé
Total Exchange is one of the most important collective communication patterns for scientific applications. In this paper we propose an algorithm called ${\mathcal LG}$ for the total exchange redistribution problem between two clusters. In our approach we perform communications in two different phases, aiming to minimize the number of communication steps through the wide-area network. Therefore, we are able to reduce the number of messages exchanged through the backbone to only 2× max (n 1 ,n 2) against 2×n 1 ×n 2 messages with the traditional strategy (where n 1 and n 2 are the number of nodes of each clusters). Experimental results show that we reach over than 50% of performance improvement comparing to the traditional strategies.
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