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Collective Error Detection for MPI Collective Operations

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 3666)

Abstract

An MPI profiling library is a standard mechanism for intercepting MPI calls by applications. Profiling libraries are so named because they are commonly used to gather performance data on MPI programs. Here we present a profiling library whose purpose is to detect user errors in the use of MPI’s collective operations. While some errors can be detected locally (by a single process), other errors involving the consistency of arguments passed to MPI collective functions must be tested for in a collective fashion. While the idea of using such a profiling library does not originate here, we take the idea further than it has been taken before (we detect more errors) and offer an open-source library that can be used with any MPI implementation. We describe the tests carried out, provide some details of the implementation, illustrate the usage of the library, and present performance tests.

Keywords

  • MPI
  • collective
  • errors
  • datatype
  • hashing

This work was supported by the Mathematical, Information, and Computational Sciences Division subprogram of the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, SciDAC Program, under Contract W-31-109-ENG-38.

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© 2005 Springer-Verlag Berlin Heidelberg

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Falzone, C., Chan, A., Lusk, E., Gropp, W. (2005). Collective Error Detection for MPI Collective Operations. In: Di Martino, B., Kranzlmüller, D., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2005. Lecture Notes in Computer Science, vol 3666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557265_21

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  • DOI: https://doi.org/10.1007/11557265_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29009-4

  • Online ISBN: 978-3-540-31943-6

  • eBook Packages: Computer ScienceComputer Science (R0)