User Guide


Analyzing MPI Workloads

Intel® Advisor
allows you to analyze parallel tasks running on a cluster, so you can examine your MPI application for opportunities of adding vectorization or threading parallelism. Use the Intel® MPI gtool with
to invoke the
command and spawn MPI processes across the cluster.
MPI analysis can be performed only through the command line interface, but the result can be viewed through the standalone GUI, as well as the command line.


Consider the following when running collections for an MPI application:
  • Only homogenous clusters are supported.
  • Analysis data can be saved to a shared partition, or to local directories on the cluster.
  • Only one processes' data can be viewed at a time.
  • Intel® Advisor
    saves collection results into a subdirectory under the
    Intel Advisor
    project directory. If you wish to collect and then view (in a separate session) data for more than one process, specify a new project directory when running new collection.
  • Specify one and the same project directory when running various
    Intel Advisor
    collections for the selected process.

MPI Implementations Support

You can use the
Intel Advisor
with the
Intel® MPI Library
and other MPI implementations, but be aware of the following details:
  • You may need to adjust the command examples in this section to work for non-Intel MPI implementations. For example, adjust commands provided for process ranks to limit the number of processes in the job.
  • An MPI implementation needs to operate in cases when there is the
    Intel Advisor
    process (
    ) between the launcher process (
    ) and the application process. This means that the communication information should be passed using environment variables, as most MPI implementations do.
    Intel Advisor
    does not work on an MPI implementation that tries to pass communication information from its immediate parent process.

Intel® MPI Command Syntax

You can use
Intel Advisor
to generate the command line for collecting results on multiple MPI ranks. To do that,
  1. In
    Intel Advisor
    user interface go to
    Project Properties
    Analysis Target
    tab >
    Survey Analysis Types
    Survey Hotspots Analysis
  2. Select the
    Use MPI Launcher
  3. Specify the MPI run parameters, then copy the command line from
    Get command line
    text box to your clipboard.
Use the
option of
with Intel® MPI Library 5.0.2 and higher:
$ mpiexec –gtool “advixe-cl -collect <analysis_type> -project-dir <project_PATH>:<ranks_set>” -n <N> <application_name> [myApplication_options]
  • <analysis_type>
    is one of the
    Intel Advisor
    • survey
      runs the target process and collects basic information about the hotspots.
    • tripcounts
      collects data on the loop trip counts.
    • dependencies
      collects information possible dependencies in your application, requires
      • Either loop ID as an additional parameter (
        ). Find the loop ID in the Survey report (
        --report survey
        ) or using the
        Command Line
        link in the
        Intel® Advisor
        Workflow tab
        (right under the button).
      • Or annotations in the source code.
    • map
      collects information about memory access patterns for the selected loops. Also requires loop IDs for the analysis.
    • suitability
      checks suitability of the parallel site that you want to insert into your target application. Requires annotations to be added into the source code of your application, and also requires recompilation in Debug mode.
  • <
    > is the set of MPI ranks to run the analysis for. Separate ranks with a comma, or use a dash "-" to set a range of ranks. Use
    to analyze all the ranks.
For detailed syntax, refer to the
Intel® MPI Library Reference Manual

Generic MPI Command Syntax

with the
command to spawn processes across the cluster and collect data about the application.
Each process has a rank associated with it. This rank is used to identify the result data.
To collect performance or dependencies data for an MPI program with
Intel Advisor
, the general form of the
command is:
$ mpiexec -n <N> advixe-cl -project-dir <project_PATH> -collect <analysis_type> -search-dir src:r=<sources_PATH> -- myApplication [myApplication_options]
  • <N>
    is the number of MPI processes to launch
  • <project_PATH>
    specifies the path/name of the project directory
  • <analysis_type>
  • <sources_PATH>
    is the path to the directory where annotated sources are stored

Viewing Results via
Intel Advisor

As a result of collection,
Intel Advisor
creates a number of result directories in the directory specified with
. The nested result directories are named as
rank.0, rank.1, ... rank.n
, where the numeric suffix
corresponds to the MPI process rank.
To view the collected results for a specific rank, you can either open a result project file (
) that resides in the
via the
Intel Advisor
GUI, or run the
Intel Advisor
CLI report:
$ advixe-cl -report <analysis_type> -project-dir <project_PATH>:<ranks>
You can view only one rank's results at a time.

Additional MPI Resources

For more details on analyzing MPI applications, see the
Intel MPI Library
and online MPI documentation on the
Intel® Developer Zone
Other Intel® Developer Zone online resources that discuss usage of the
Intel® Parallel Studio XE
Cluster Edition with the
Intel MPI Library
Hybrid applications:
Intel MPI Library
and OpenMP* on the
Intel Developer Zone

Product and Performance Information


Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804