Intel® MPI Library Developer Guide for Windows* OS

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ID 768730
Date 10/31/2024
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Document Table of Contents
Document Table of Contents x
Intel® MPI Library Developer Guide for Windows* OS
Intel® MPI Library Developer Guide for Windows* OS x
Introduction Installation and Prerequisites Compiling and Linking Running Applications Debugging Applications Analysis and Tuning Troubleshooting Notices and Disclaimers
Introduction x
Introducing Intel® MPI Library Conventions and Symbols Related Information
Installation and Prerequisites x
Installation Prerequisite Steps User Authorization
Compiling and Linking x
Compiling an MPI Program Configuring a Microsoft Visual Studio* Project
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 Trace an Application See Also 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: MPI Application Hangs Problem: Password Required Problem: Cannot Execute Binary File Problem: MPI limitation for Docker*
Intel® MPI Library Developer Guide for Windows* OS

Tracing Applications

The Intel® MPI Library provides a variety of options for analyzing MPI applications. Some of these options are available within the Intel MPI Library, while some require additional analysis tools. For these tools, the Intel MPI Library provides compilation and runtime options and environment variables for easier interoperability.

The Intel MPI Library is tightly integrated with the Intel® Trace Analyzer and Collector, which enables you to analyze and debug MPI applications. The Intel MPI Library has several compile-time options to simplify the application analysis.

Intel Trace Analyzer and Collector is available as standalone software and as part of the Intel® HPC Toolkit. Before proceeding to the next steps, make sure you have the product installed.

NOTE:
Intel Trace Analyzer and Collector 2022.3 is the final version. No further feature improvements or security fixes will be available after this final release. For more information, see the Intel Trace Analyzer and Collector transition notice. ​

Trace an Application

To analyze an application, first you need generate a trace file of your application, and then open this file in Intel® Trace Analyzer to analyze communication patterns, time utilization, and other elements. Tracing is performed by linking with the Intel Trace Collector profiling library, which intercepts all MPI calls and generates a trace file. Intel MPI Library provides the -trace (-t) compiler option to simplify this process.

Complete the following steps:

  1. Set up the environment for the compiler, Intel MPI Library, and Intel Trace Analyzer and Collector. 
    > run <compiler-install-dir>\env\vars.bat
    > run <itac-install-dir>\env\vars.bat
  2. Relink your application with the Intel Trace Collector profiling library and run the application: 
    > mpiicc -trace myprog.c > mpiexec -n 4 myprog.exe

    As a result, a trace file .stf is generated. For the example above, it is myprog.stf.

  3. Analyze the application with the Intel Trace Analyzer: 
    > traceanalyzer myprog.stf

The workflow above is the most common scenario of tracing with the Intel Trace Collector. For other tracing scenarios, see the Intel Trace Collector documentation.

Parent topic: Analysis and Tuning
Level Two Title