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https://doi.org/10.1109/cluste...
Article . 2019 . Peer-reviewed
License: IEEE Copyright
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MPI Sessions: Evaluation of an Implementation in Open MPI

Authors: Nathan T. Hjelm; Howard Pritchard; Samuel K. Gutiérrez; Daniel J. Holmes; Ralph Castain; Anthony Skjellum;

MPI Sessions: Evaluation of an Implementation in Open MPI

Abstract

The recently proposed MPI Sessions extensions to the MPI standard present a new paradigm for applications to use with MPI. MPI Sessions has the potential to address several limitations of MPI’s current specification: MPI cannot be initialized within an MPI process from different application components without a priori knowledge or coordination; MPI cannot be initialized more than once; and, MPI cannot be reinitialized after MPI finalization. MPI Sessions also offers the possibility for more flexible ways for individual components of an application to express the capabilities they require from MPI at a finer granularity than is presently possible.At this time, MPI Sessions has reached sufficient maturity for implementation and evaluation, which are the focuses of this paper. This paper presents a prototype implementation of MPI Sessions, discusses certain of its performance characteristics, and describes its successful use in a large-scale production MPI application. Overall, MPI Sessions is shown to be implementable, integrable with key infrastructure, and effective, but with certain overheads involving the initialization of MPI as well as communicator construction. Small impacts on message-passing latency and throughput are noted. Open MPI was used as the implementation vehicle, but results here are also relevant to other middleware stacks.

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
Green