Intel® MPI Library

Developer Guide for Linux* OS

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ID 768728
Date 10/31/2024
Public
Document Table of Contents
Document Table of Contents x
Developer Guide for Linux* OS
Developer Guide for Linux* OS x
Introduction Installation and Prerequisites Compiling and Linking Running Applications Debugging Applications Analysis and Tuning Troubleshooting Additional Supported Features Examples Notices and Disclaimers
Introduction x
Introducing Intel® MPI Library Conventions and Symbols Related Information
Installation and Prerequisites x
Installation Prerequisite Steps
Compiling and Linking x
Compiling an MPI Program Compilers Support ILP64 Support
Running Applications x
Running Intel® MPI Library in Containers Selecting a Library Configuration Running an MPI Program Running an MPI/OpenMP* Program MPMD Launch Mode Fabrics Control Job Schedulers Support Controlling Process Placement Java* MPI Applications Support
Running Intel® MPI Library in Containers x
Build a Singularity* Container for an MPI Application Run the Application with a Container
Fabrics Control x
Selecting Fabrics Libfabric* Support OFI* Providers Support
Debugging Applications x
Debugging Using -gtool for Debugging
Analysis and Tuning x
Displaying MPI Debug Information Tracing Applications Interoperability with Other Tools Through -gtool MPI Tuning
Troubleshooting x
Error Message: Bad Termination Error Message: No such file or Directory Error Message: Permission Denied Error Message: Fatal Error Error Message: Bad File Descriptor Error Message: Too Many Open Files Problem: High Memory Consumption Readings Problem: MPI Application Hangs Problem: Password Required Problem: Cannot Execute Binary File Problem: MPI limitation for Docker*
Additional Supported Features x
Asynchronous Progress Control Device-Initiated Communications Notified One-Sided Communications Multiple Endpoints Support
Multiple Endpoints Support x
MPI_THREAD_SPLIT Programming Model Threading Runtimes Support Program Examples Code Change Guide
Examples x
async_progress_sample.c thread_split.cpp thread_split_omp_for.c thread_split_omp_task.c thread_split_pthreads.c
Developer Guide for Linux* OS

Prerequisite Steps

Before you start using any of the Intel® MPI Library functionality, make sure to establish the proper environment settings:

  1. Set up the Intel MPI Library environment by sourcing the setvars.sh script, which is found in your installation directory (by default, /opt/intel/oneapi/mpi/<version> ).

    NOTE:
    You must run setvars at the start of each session. See the Intel HPC Toolkit Get Started Guide for more details, including options for automatic setup of environment settings.
    NOTE:
    If you are using Intel MPI in a Unified Directory Layout, set the environment variables using the /opt/intel/oneapi/<toolkit-version-number>/oneapi_vars.sh script instead. To understand more about the Unified Directory Layout, including how the environment is initialized and the advantages of using the layout, see Use the setvars and oneapi-vars Scripts with Linux* .

  2. To run an MPI application on a cluster, the Intel MPI Library needs to know names of all its nodes. Create a text file listing the cluster node names. The format of the file is one name per line, and the lines starting with # are ignored. To get the name of a node, use the hostname utility.

    A sample host file may look as follows: 

    $ cat ./hosts
# This line is ignored
clusternode1
clusternode2
clusternode3
clusternode4

  3. For communication between cluster nodes, in most cases the Intel MPI Library uses the SSH protocol. You need to establish a passwordless SSH connection to ensure proper communication of MPI processes.

After completing these steps, you are ready to use the Intel MPI Library.

Parent topic: Installation and Prerequisites
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