NDLI: An MPI Halo-Cell Implementation for Zero-Copy Abstraction

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An MPI Halo-Cell Implementation for Zero-Copy Abstraction

Content Provider	ACM Digital Library
Author	Jaeger, Julien Pérache, Marc Shende, Sameer Malony, Allen Besnard, Jean-Baptiste Carribault, Patrick
Abstract	In the race for Exascale, the advent of many-core processors will bring a shift in parallel computing architectures to systems of much higher concurrency, but with a relatively smaller memory per thread. This shift raises concerns for the adaptability of HPC software, for the current generation to the brave new world. In this paper, we study domain splitting on an increasing number of memory areas as an example problem where negative performance impact on computation could arise. We identify the specific parameters that drive scalability for this problem, and then model the halo-cell ratio on common mesh topologies to study the memory and communication implications. Such analysis argues for the use of shared-memory parallelism, such as with OpenMP, to address the performance problems that could occur. In contrast, we propose an original solution based entirely on MPI programming semantics, while providing the performance advantages of hybrid parallel programming. Our solution transparently replaces halo-cells transfers with pointer exchanges when MPI tasks are running on the same node, effectively removing memory copies. The results we present demonstrate gains in terms of memory and computation time on Xeon Phi (compared to OpenMP-only and MPI-only) using a representative domain decomposition benchmark.
Starting Page	1
Ending Page	9
Page Count	9
File Format	PDF
ISBN	9781450337953
DOI	10.1145/2802658.2802669
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Zero-copy Ghost-cells Memory Mpi Mpi_halo
Content Type	Text
Resource Type	Article

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