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Numerical methods and programming, 2023, Volume 24, Issue 4, Pages 339–351
DOI: https://doi.org/10.26089/NumMet.v24r424
(Mi vmp1093)
 

Parallel software tools and technologies

Shared memory based MPI Reduce and Bcast algorithms

A. A. Romanyutaa, M. G. Kurnosovbc

a Siberian State University of Telecommunications and Informatics, Novosibirsk
b Siberian Academy of Telecommunications and Informatics
c Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Novosibirsk
Abstract: Algorithms for implementing collective operations MPI_Bcast, MPI_Reduce, MPI_Allreduce using shared memory of multiprocessor servers are proposed. The algorithms create a shared memory segment and a system of queues in it, through which message blocks are transmitted. The software implementation is based on the Open MPI library as an isolated coll/sharm component. Unlike existing algorithms, interaction with the queuing system is organized with spinlock and focused on reducing the number of barrier synchronizations and atomic operations. When conducting experiments on a server with x86–64 architecture for the MPI_Bcast operation, the largest reduction in time was obtained by 6.5 times (85% less) and MPI_Reduce by 3.3 times (70% less) compared to the implementation in the coll/tuned component of the Open MPI library. Recommendations on the use of algorithms for different message sizes are suggested.
Keywords: Bcast; Reduce; Allreduce; collective operations; MPI; computer systems.
Received: 24.07.2023
Document Type: Article
UDC: 004.724.3
Language: Russian
Citation: A. A. Romanyuta, M. G. Kurnosov, “Shared memory based MPI Reduce and Bcast algorithms”, Num. Meth. Prog., 24:4 (2023), 339–351
Citation in format AMSBIB
\Bibitem{RomKur23}
\by A.~A.~Romanyuta, M.~G.~Kurnosov
\paper Shared memory based MPI Reduce and Bcast algorithms
\jour Num. Meth. Prog.
\yr 2023
\vol 24
\issue 4
\pages 339--351
\mathnet{http://mi.mathnet.ru/vmp1093}
\crossref{https://doi.org/10.26089/NumMet.v24r424}
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