Intel® MPI Library Developer Guide for Linux* OS

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ID 768728
Date 11/07/2023
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Document Table of Contents
Document Table of Contents x
Intel® MPI Library Developer Guide for Linux* OS
Intel® MPI Library 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 Singularity 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
Singularity Containers 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 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
Intel® MPI Library Developer Guide for Linux* OS

Running Intel® MPI Library in Containers

A container is a self-contained execution environment platform that enable flexibility and portability of your MPI appliction. It lets you package an application and its dependencies in a virtual container that can run on an operating system, such as Linux*.

This guide describes the use of the Intel® MPI Library with the Singularity* container type.

Singularity Containers

Singularity* is a lightweight container model aligned with the needs of high performance computing (HPC). Singularity has a built-in support of MPI and allows you to leverage the resources of the host you are on, including HPC interconnects, resource managers, and accelerators.

This chapter provides information on running Intel® MPI Library in a Singularity container built from a recipe file. To run Intel® MPI Library in a Singularity environment, do the following:

  1. Make sure you have the following components installed on each machine of a cluster:

    1. Singularity (version not lower than 3.0).
    2. A container including your application.
    3. Intel MPI Library.
  2. Create a Singularity recipe file and use it to build a container.
  3. Run your MPI application from the Singularity container.
Parent topic: Running Applications
Level Two Title