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Communication Bandwidth of Parallel Programming Models on Hybrid Architectures

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High Performance Computing (ISHPC 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2327))

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Abstract

Most HPC systems are clusters of shared memory nodes. Parallel programming must combine the distributed memory parallelization on the node inter-connect with the shared memory parallelization inside of each node. This paper introduces several programming models for hybrid systems. It focuses on programming methods that can achieve optimal inter-node communication bandwidth and on the hybrid MPI+OpenMP approach and its programming rules. The communication behavior is compared with the pure MPI programming paradigm and with RDMA and NUMA based programming models.

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© 2002 Springer-Verlag Berlin Heidelberg

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Rabenseifner, R. (2002). Communication Bandwidth of Parallel Programming Models on Hybrid Architectures. In: Zima, H.P., Joe, K., Sato, M., Seo, Y., Shimasaki, M. (eds) High Performance Computing. ISHPC 2002. Lecture Notes in Computer Science, vol 2327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47847-7_37

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  • DOI: https://doi.org/10.1007/3-540-47847-7_37

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  • Print ISBN: 978-3-540-43674-4

  • Online ISBN: 978-3-540-47847-8

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