S. Fide and S.F. Jenks (USA)
Cluster Computing, Cluster Communications, Distributed Computing, MPI, Middleware
High performance computing systems and cluster comput ers are becoming so cost-effective that even small research groups can afford them. Hence, efforts to take advantage of these widely distributed resources are becoming popu lar. Although recent projects provide resource management and job scheduling to support groups of computational re sources across the country working together on massive problems, they have not yet fully addressed how distributed parallel programs will communicate. Therefore, we pro pose a new paradigm to support cluster-to-cluster (C2C) communications, which handles run-time communications between parallel programs running on distributed clusters.
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