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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2208.13707 (cs)
[Submitted on 29 Aug 2022 (v1), last revised 30 Aug 2022 (this version, v2)]

Title:MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming

Authors:Hui Zhou, Ken Raffenetti, Yanfei Guo, Rajeev Thakur
View a PDF of the paper titled MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming, by Hui Zhou and 3 other authors
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Abstract:The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI standard only specifies the compatibility levels between MPI and threading runtimes. No MPI concept or interface exists for applications to pass thread context or GPU stream context to MPI implementations explicitly. This lack has made performance optimization complicated in some cases and impossible in other cases. We propose a new concept in MPI, called MPIX stream, to represent the general serial execution context that exists in X runtimes. MPIX streams can be directly mapped to threads or GPU execution streams. Passing thread context into MPI allows implementations to precisely map the execution contexts to network endpoints. Passing GPU execution context into MPI allows implementations to directly operate on GPU streams, lowering the CPU/GPU synchronization cost.
Comments: 10 pages, EuroMPI/USA'22
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC); Performance (cs.PF)
Cite as: arXiv:2208.13707 [cs.DC]
  (or arXiv:2208.13707v2 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2208.13707
arXiv-issued DOI via DataCite
Related DOI: https://doi.org/10.1145/3555819.3555820
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Submission history

From: Hui Zhou [view email]
[v1] Mon, 29 Aug 2022 16:36:03 UTC (78 KB)
[v2] Tue, 30 Aug 2022 02:15:43 UTC (78 KB)
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