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Using Two DAPL Providers for MPI on Xeon Phi™

Overview

A new feature is available for the Intel® MPI Library when running on a Xeon Phi™ coprocessor.  You can now choose two DAPL providers to use for a single job.

Use Case

If you have one DAPL provider that is better for small messages and a different one is better for large messages, you can instruct Intel MPI to use the appropriate provider based on message size.

  • Desarrolladores
  • Linux*
  • Avanzado
  • Intel® MPI Library
  • dapl
  • Mensaje pasa a interfaz
  • Arquitectura Intel® para muchos núcleos integrados
  • MPI sets LD_LIBRARY_PATH incorrectly on Xeon Phi™ under LSF*

    Symptom

    Shared libraries are not found when running a rank on a Xeon Phi™ coprocessor.

    error while loading shared libraries: lib*.so: cannot open shared object file: No such file or directory

    Cause

    When launching a job running in either native or symmetric mode, ranks launched on Xeon Phi" coprocessors under the LSF* job scheduler will not correctly set LD_LIBRARY_PATH.  Instead, the default LD_LIBRARY_PATH for the coprocessor will be used.  If shared libraries are located in other locations, they will not be found.

  • Desarrolladores
  • Linux*
  • Servidor
  • Intermedio
  • Intel® MPI Library
  • Intel® Cluster Studio XE
  • Mensaje pasa a interfaz
  • LSF
  • HYDRA
  • LD_LIBRARY_PATH
  • Arquitectura Intel® para muchos núcleos integrados
  • Intel® MPI Library 4.1 Build 027 Readme

    The Intel® MPI Library for Linux* and Windows* is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v2.2 (MPI-2.2) specification. This package is for MPI users who develop on and build for IA-32 and Intel® 64 architectures on Linux* and Windows*, as well as customers running on the Intel® Xeon Phi™ coprocessor on Linux*. You must have a valid license to download, install and use this product.

  • Desarrolladores
  • Linux*
  • Servidor
  • C/C++
  • Fortran
  • Intel® MPI Library
  • Mensaje pasa a interfaz
  • Computación con clústeres
  • Webinar: Improving Intel® MPI Library Performance with Automatic Tuning and the Intel® Trace Analyzer and Collector

    The Intel® MPI Library includes two utilities for improving MPI performance. The Automatic Tuning utility allows you to tune runtime parameters to match your system and applications. The Intel® Trace Analyzer and Collector allows you to instrument and profile your MPI programs to improve parallelism. In this webinar, I will show you how to use both of these tools to improve your applications’ performance.
  • Desarrolladores
  • Profesores
  • Estudiantes
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Fortran
  • Avanzado
  • Intermedio
  • Intel® Trace Analyzer and Collector
  • Intel® MPI Library
  • Intel® Trace Analyzer and Collector
  • Intel® MPI Library
  • Automatic Tuning
  • Computación con clústeres
  • Herramientas de desarrollo
  • Optimización
  • Computación en paralelo
  • Páginas

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