Abstract
MPI and OpenMP are the de-facto standards for distributed-memory and shared-memory parallelization, respectively. By employing a hybrid approach, that is combing OpenMP and MPI parallelization in one program, a cluster of SMP systems can be exploited. Nevertheless, mixing programming paradigms and writing explicit message passing code might increase the parallel program development time significantly. Intel Cluster OpenMP is the first commercially available OpenMP implementation for a cluster, aiming to combine the ease of use of the OpenMP parallelization paradigm with the cost efficiency of a commodity cluster. In this paper we present our first experiences with Intel Cluster OpenMP. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Terboven, C., Mey, D. A., Schmidl, D., & Wagner, M. (2008). First experiences with intel cluster openmp. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5004 LNCS, pp. 48–59). Springer Verlag. https://doi.org/10.1007/978-3-540-79561-2_5
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