Abstract
Problems related to peculiarities in the behavior of communications in modern computational clusters with a large number of processor elements in the process of message transfer are discussed. The authors propose developing an approach to characteristics measurement based on synthetic MPI tests. Visualization tools and an algorithm for clusterization of the output data of MPI tests are proposed for analyzing these peculiarities. The developed toolkit makes it possible to uncover such peculiarities as the effect of external disturbances on the data transfer rate, the topological structure of communications, and incorrect operation of the computational cluster units. Data on the Chebyshev SKIF-60, Lomonosov SKIF T500+, MVS-100K, and BlueGene/P clusters are given.
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