We propose PiP-MColl, a Process-in-Process-based Multi-object Inter-process MPI Collective design that maximizes small message MPI collective performance at ...
May 17, 2023 · Abstract:In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical.
May 17, 2023 · Accelerating MPI Collectives with Process-in-Process-based. Multi-object Techniques. In Proceedings of the 32nd International Sympo- sium on ...
PiP-MColl features efficient multiple sender and receiver collective algorithms and leverages Process-in-Process shared memory techniques to eliminate ...
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face ...
Accelerating mpi collectives with process-in-process-based multi-object techniques. J Huang, K Ouyang, Y Zhai, J Liu, M Si, K Raffenetti, H Zhou, A Hori ...
We propose Process-in-Process based Multiobject Interprocess MPI Collective (PiP-MColl) design to maximize small and medium-message MPI collective performance ...
In this paper, we propose a new design method to implement hybrid MPI+MPI context-based collective communication operations.
Missing: Techniques. | Show results with:Techniques.
Thakur, “Accelerating mpi collectives with process-in-process-based multi-object techniques,” in Proceedings of the 32nd International Symposium on High ...
Missing: Accelerating Techniques.
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In this paper, we present a third model called process-in-process (PiP), where multiple processes are mapped into a single virtual address space.