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Efficient MPI Support for Advanced Hybrid Programming Models

Authors: Torsten Hoefler; Greg Bronevetsky; Brian Barrett; Bronis R. de Supinski; Andrew Lumsdaine;

Efficient MPI Support for Advanced Hybrid Programming Models

Abstract

The number of multithreaded Message Passing Interface (MPI) implementations and applications is increasing rapidly. We discuss how multithreaded applications can receive messages of unknown size. As is well known, combining MPI_Probe/MPI_Recv is not threadsafe, but many assume that trivial workarounds exist. We discuss those workarounds and show how they fail in practice by either limiting the available parallelism unnecessarily, consuming resources in a nonscalable way, or promoting global deadlocks. In this light, we propose two fundamentally different efficient approaches to enable thread-safe messaging in MPI-2.2: fine-grained locking and matching outside of MPI. Our approaches provide thread-safe probe and receive functionality, but both have deficiencies, including performance limitations and programming complexity, that could be avoided if MPI would offer a thread-safe (stateless) interface to MPI Probe. We propose such an extension for the upcoming MPI-3 standard, provide a reference implementation, and demonstrate significant performance benefits.

Country
United States
Keywords

97 Mathematics, And Information Science, Computing

  • BIP!
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    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).
    7
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    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!
7
Average
Average
Average