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2010
IEEE

An MPI-Stream Hybrid Programming Model for Computational Clusters

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An MPI-Stream Hybrid Programming Model for Computational Clusters
The MPI programming model hides network type and topology from developers, but also allows them to seamlessly distribute a computational job across multiple cores in both an intra and inter node fashion. This provides for high locality performance when the cores are either on the same node or on nodes closely connected by the same network type. The streaming model splits a computational job into a linear chain of decoupled units. This decoupling allows the placement of job units on optimal nodes according to network topology. Furthermore, the links between these units can be of varying protocols when the application is distributed across a heterogeneous network. In this paper we study how to integrate the MPI and Stream programming models in order to exploit network locality and topology. We present a hybrid MPI-Stream framework that aims to take advantage of each model's strengths. We test our framework with a financial application. This application simulates an electronic market...
Emilio Pasquale Mancini, Gregory Marsh, Dhabaleswa
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where CCGRID
Authors Emilio Pasquale Mancini, Gregory Marsh, Dhabaleswar K. Panda
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