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Employing MPI Collectives for Timing Analysis on Embedded Multi-Cores

Authors Martin Frieb, Alexander Stegmeier, Jörg Mische, Theo Ungerer



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Martin Frieb
Alexander Stegmeier
Jörg Mische
Theo Ungerer

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Martin Frieb, Alexander Stegmeier, Jörg Mische, and Theo Ungerer. Employing MPI Collectives for Timing Analysis on Embedded Multi-Cores. In 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016). Open Access Series in Informatics (OASIcs), Volume 55, pp. 10:1-10:11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2016)
https://doi.org/10.4230/OASIcs.WCET.2016.10

Abstract

Static WCET analysis of parallel programs running on shared-memory multicores suffers from high pessimism. Instead, distributed memory platforms which communicate via messages may be one solution for manycore systems. Message Passing Interface (MPI) is a standard for communication on these platforms. We show how its concept of collective operations can be employed for timing analysis. The idea is that the worst-case execution time (WCET) of a parallel program may be estimated by adding the WCET estimates of sequential program parts to the WCET estimates of communication parts. Therefore, we first analyse the two MPI operations MPI_Allreduce and MPI_Sendrecv. Employing these results, we make a timing analysis of the conjugate gradient (CG) benchmark from the NAS parallel benchmark suite.
Keywords
  • Real Time
  • Network on Chip
  • WCET
  • Timing Analysis
  • MPI

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