Intel® MPI Library Developer Guide for Linux* OS

Download PDF
ID 768728
Date 12/16/2022
Public

A newer version of this document is available. Customers should click here to go to the newest version.

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 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 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

MPMD Launch Mode

Intel® MPI Library supports the multiple programs, multiple data (MPMD) launch mode. There are two ways to do this.

The easiest way is to create a configuration file and pass it to the -configfile option. A configuration file should contain a set of arguments for mpirun, one group per line. For example: 

$ cat mpmd_config
-n 1 -host node1 ./io <io_args>
-n 4 -host node2 ./compute <compute_args_1> 
-n 4 -host node3 ./compute <compute_args_2
$ mpirun -configfile mpmd_config

Alternatively, you can pass a set of options to the command line by separating each group with a colon: 

$ mpirun -n 1 -host node1 ./io <io_args> :\
-n 4 -host node2 ./compute <compute_args_1> :\
-n 4 -host node3 ./compute <compute_args_2>

The examples above are equivalent. The io program is launched as one process on node1, and the compute program is launched on node2 and node3 as four processes on each.

When an MPI job is launched, the working directory is set to the working directory of the machine where the job is launched. To change this, use the -wdir <path>.

Use -env <var> <value> to set an environment variable for only one argument set. Using -genv instead applies the environment variable to all argument sets. By default, all environment variables are propagated from the environment during the launch.

Parent topic: Running Applications
Level Two Title