Shared Memory-based Algorithms for MPI Irregular Collective Operations

Algorithms for MPI_Scatterv, MPI_Gatherv and MPI_Allgatherv collective operations using the shared memory of SMP/NUMA machine are proposed. The algorithms use an approach based on copying message fragments through queues in a shared memory segment (Copy-In-Copy-Out). The implementation is based on O...

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Veröffentlicht in:2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) S. 1 - 4
Hauptverfasser: Romanyuta, Alexey, Kurnosov, Mikhail
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 11.11.2022
Schlagworte:
Allgatherv
collective operations
computer systems
Gatherv
Libraries
MPI
Scatterv
Servers
Software
Software algorithms
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Zusammenfassung:Algorithms for MPI_Scatterv, MPI_Gatherv and MPI_Allgatherv collective operations using the shared memory of SMP/NUMA machine are proposed. The algorithms use an approach based on copying message fragments through queues in a shared memory segment (Copy-In-Copy-Out). The implementation is based on Open MPI and on average reduces the execution time by 20-40% for the MPI_Scatterv, MPI_Gatherv, MPI_Allgatherv operations compared to the coll/tuned component of the Open MPI library.
DOI:10.1109/SIBIRCON56155.2022.10017005