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Fast and Scalable Barrier Using RDMA and Multicast Mechanisms for InfiniBand-Based Clusters

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2840))

Abstract

This paper describes a methodology for efficiently implementing the barrier operation, on clusters with the emerging InfiniBand Architecture (IBA). IBA provides hardware level support for the Remote Direct Memory Access (RDMA) message passing model as well as the multicast operation. This paper describes the design, implementation and evaluation of three barrier algorithms that leverage these mechanisms. Performance evaluation studies indicate that considerable benefits can be achieved using these mechanisms compared to the traditional implementation based on the point-to-point message passing model. Our experimental results show a performance benefit of up to 1.29 times for a 16-node barrier and up to 1.71 times for non-powers-of-2 group size barriers. Each proposed algorithm performs the best for certain ranges of group sizes and the optimal algorithm can be chosen based on this range. To the best of our knowledge, this is the first attempt to characterize the multicast performance in IBA and to demonstrate the benefits achieved by combining it with RDMA operations for efficient implementations of barrier. This framework has significant potential for developing scalable collective communication libraries for IBA-based clusters.

This research is supported in part by Sandia National Laboratory’s contract #30505, Department of Energy’s Grant #DE-FC02-01ER25506, and National Science Foundation’s grants #EIA-9986052 and #CCR-0204429.

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Kini, S.P., Liu, J., Wu, J., Wyckoff, P., Panda, D.K. (2003). Fast and Scalable Barrier Using RDMA and Multicast Mechanisms for InfiniBand-Based Clusters. In: Dongarra, J., Laforenza, D., Orlando, S. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2003. Lecture Notes in Computer Science, vol 2840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39924-7_51

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  • DOI: https://doi.org/10.1007/978-3-540-39924-7_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20149-6

  • Online ISBN: 978-3-540-39924-7

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