Data Partitioning on Heterogeneous Multicore Platforms

In this paper, we present two techniques for inter- and intra-node data partitioning aimed at load balancing MPI applications on heterogeneous multicore platforms. For load balancing between the multicore nodes of a heterogeneous multicore cluster, we propose how to define a functional performance m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ziming Zhong, Rychkov, V., Lastovetsky, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Data models data partitioning functional performance models heterogeneous multicore cluster Kernel load balancing Load management Multicore processing Partitioning algorithms Program processors
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