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

Fabrics Control

The Intel® MPI Library switched from the Open Fabrics Alliance* (OFA) framework to the Open Fabrics Interfaces* (OFI) framework and currently supports libfabric*.

NOTE:
The supported fabric environment has changed since Intel® MPI Library 2019. The dapl, tcp, tmi, and ofa fabrics are now deprecated.

OFI is a framework focused on exporting communication services to applications. OFI is specifically designed to meet the performance and scalability requirements of high-performance computing (HPC) applications running in a tightly coupled network environment. The key components of OFI are application interfaces, provider libraries, kernel services, daemons, and test applications.

Libfabric is a library that defines and exports the user-space API of OFI, and is typically the only software that applications deal with directly. The libfabric's API does not depend on the underlying networking protocols, as well as on the implementation of the particular networking devices, over which it may be implemented. OFI is based on the notion of application centric I/O, meaning that the libfabric library is designed to align fabric services with application needs, providing a tight semantic fit between applications and the underlying fabric hardware. This reduces overall software overhead and improves application efficiency when transmitting or receiving data over a fabric.

For more information, refer to the following topics:

Parent topic: Running Applications
Level Two Title