Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications

• URL: http://arxiv.org/abs/2205.13963v1
• Date: Fri, 27 May 2022 13:19:07 GMT
• Title: Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications
• Authors: Ayesha Afzal, Georg Hager, Gerhard Wellein, Stefano Markidis
• Abstract summary: We run microbenchmarks and realistic proxy applications with the regular compute-communicate structure on two different supercomputing platforms. We show how desynchronization patterns can be readily identified from a data set that is much smaller than a full MPI trace.
• Score: 0.8889304968879161
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper studies the utility of using data analytics and machine learning techniques for identifying, classifying, and characterizing the dynamics of large-scale parallel (MPI) programs. To this end, we run microbenchmarks and realistic proxy applications with the regular compute-communicate structure on two different supercomputing platforms and choose the per-process performance and MPI time per time step as relevant observables. Using principal component analysis, clustering techniques, correlation functions, and a new "phase space plot," we show how desynchronization patterns (or lack thereof) can be readily identified from a data set that is much smaller than a full MPI trace. Our methods also lead the way towards a more general classification of parallel program dynamics.

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