Intel® MPI Library

Making applications perform better on Intel® architecture-based clusters with multiple fabric flexibility

  • Scalability verified up to 150k processes
  • Supports the latest MPI-3 standard
  • MPICH ABI compatibility

Available in Intel® Parallel Studio XE Cluster Edition.
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Deliver Flexible, Efficient, and Scalable Cluster Messaging

Intel® MPI Library 5.0 focuses on making applications perform better on Intel® architecture-based clusters—implementing the high performance Message Passing Interface Version 3.0 specification on multiple fabrics. It enables you to quickly deliver maximum end user performance even if you change or upgrade to new interconnects, without requiring changes to the software or operating environment.

Use this high performance MPI message library to develop applications that can run on multiple cluster interconnects chosen by the user at runtime. Benefit from a free runtime environment kit for products developed with Intel® MPI Library. Get excellent performance for enterprise, divisional, departmental, workgroup, and personal High Performance Computing.


Quotes

“Fast and accurate state of the art general purpose CFD solvers is the focus at S & I Engineering Solutions Pvt, Ltd. Scalability and efficiency are key to us when it comes to our choice and use of MPI Libraries. The Intel® MPI Library has enabled us to scale to over 10k cores with high efficiency and performance.”
Nikhil Vijay Shende, Director,
S & I Engineering Solutions, Pvt. Ltd.

Performance

Optimized shared memory path for multicore platforms allows more communication throughput and lower latencies. Native InfiniBand interface (OFED verbs) also provides support for lower latencies. Multi-rail capability for higher bandwidth and increased interprocess communication and Tag Matching Interface (TMI) support for higher performance on Intel® True Scale, Qlogic* PSM, and Myricom* MX solutions.

  • Low latency MPI implementation up to 2 times as fast as alternative MPI libraries
  • Enable optimized shared memory dynamic connection mode for large SMP nodes
  • Increase performance with improved DAPL, OFA, and TMI fabric support
  • Accelerate applications using the enhanced tuning utility for MPI

Scalability

Implementing the high performance MPI 3.0 specification on multiple fabrics, Intel® MPI Library for Windows* and Linux* focuses on making applications perform better on IA-based clusters. Intel® MPI Library enables you to quickly deliver maximum end-user performance, even if you change or upgrade to new interconnects without requiring major modifications to the software or to the operating environment. Intel also provides a free runtime environment kit for products developed with the Intel® MPI Library.

  • Scaling verified up to 150k Processes
  • Thread safety allows you to trace hybrid multithreaded MPI applications for optimal performance on multi- and many-core Intel® Architecture.
  • Improved start scalability through the mpiexec.hydra process manager

Interconnect Independence & Flexible Runtime Fabric Selection

Whether you need to run TCP sockets, shared memory, or one of many Remote Direct Memory Access (RDMA) based interconnects, including InfiniBand*, Intel® MPI Library covers all configurations by providing an accelerated universal, multi-fabric layer for fast interconnects via the Direct Access Programming Library (DAPL*) or the Open Fabrics Association (OFA*) methodology. Develop MPI code independent of the fabric, knowing it will run efficiently on whatever network is chosen by the user at runtime.

  • Get high-performance interconnects, including Intel® True Scale, Myrinet* MX, and QLogic* PSM interfaces as well as TCP, shared memory, and others
  • Efficiently work through the Direct Access Programming Library (DAPL*), Open Fabrics Association (OFA*), and Tag Matching Interface (TMI*), making it easy for you to test and run applications on a variety of network fabrics.
    Optimizations to all levels of cluster fabrics: from shared memory thru Ethernet and RDMA-based fabrics to the tag matching interconnects

Intel® MPI Library dynamically establishes the connection, but only when needed, which reduces the memory footprint. It also automatically chooses the fastest transport available. Memory requirements are reduced by several methods including a two-phase communication buffer enlargement capability which allocates only the memory space actually required.

MPI 3.0 Standard Support

The next major evolution of the Message Passing Interface is with the release of the MPI-3.0 standard. Significant changes to remote memory access (RMA) one-sided communications, addition of non-blocking collective operations, and large counts messages greater than 2GB will enhance usability and performance. Now available in the Intel® MPI Library 5.0.

Binary compatibility

Intel® MPI Library offers binary compatibility with existing MPI-1.x and MPI-2.x applications. Even if you’re not ready to move to the new standard, you can still take advantage of the latest Intel® MPI Library performance improvements without recompiling. Furthermore, the Intel® MPI Library is an active collaborator in the MPICH ABI Compatibility Initiative, ensuring any MPICH-compiled code can use our runtimes.

Support for Mixed Operating Systems

Run a single MPI job using a cluster with mixed operating systems (Windows* OS and Linux OS*) under the Hydra process manager. Get more flexibility in job deployment with this added functionality.

Latest Processor Support

Intel consistently offers the first set of tools to take advantage of the latest performance enhancements in the newest Intel product, while preserving compatibility with older Intel and compatible processors. New support includes AVX2, TSX, FMA3 and AVX-512.

Videos to help you get started.

Register for future Webinars


Previously recorded Webinars:

  • MPI-3 Is Here: Optimize and Perform with Intel MPI Tools
  • Intel® MPI library implementation of a new MPI3.0 standard - new features and performance benchmarks
  • Increase Cluster MPI Application Performance with a "MPI Tune" Up
  • MPI on Intel® Xeon Phi™ coprocessor

More Tech Articles

Missing mpivars.sh error
Di Gergana Slavova (Intel)Pubblicato il 09/24/20131
Problem: I have a system that has both the Intel® Compilers and the Intel® MPI Library.  I'm trying to run an Intel MPI job with mpirun but I'm hitting the following errors: /opt/intel/composer_xe_2013_sp1/mpirt/bin/intel64/mpirun:line 96: /opt/intel/composer_xe_2013_sp1/mpirt/bin/intel64/mpivar...
Using Multiple DAPL* Providers with the Intel® MPI Library
Di James Tullos (Intel)Pubblicato il 09/19/20130
Introduction If your MPI program sends messages of drastically different sizes (for example, some 16 byte messages, and some 4 megabyte messages), you want optimum performance at all message sizes.  This cannot easily be obtained with a single DAPL* provider.  This is due to latency being a major...
Using Regular Expressions with the Intel® MPI Library Automatic Tuner
Di James Tullos (Intel)Pubblicato il 07/10/20131
The Intel® MPI Library includes an Automatic Tuner program, called mpitune.  You can use mpitune to find optimal settings for both a cluster and for a specific application.  In order to tune a specific application (or to use a benchmark other than the default for a cluster-specific tuning), mpitu...
Enabling Connectionless DAPL UD in the Intel® MPI Library
Di Gergana Slavova (Intel)Pubblicato il 05/07/20131
What is DAPL UD? Traditional InfiniBand* support involves MPI message transfer over the Reliable Connection (RC) protocol. While RC is long-standing and rich in functionality, it does have certain drawbacks: since it requires that each pair of processes setup a one-to-one connection at the start ...
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Supplemental Documentation

Intel® MPI Library 4.1 Update 1 Readme
Di Gergana Slavova (Intel)Pubblicato il 06/07/20130
The Intel® MPI Library for Linux* and Windows* is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v2.2 (MPI-2.2) specification. This package is for MPI users who develop on and build for IA-32 and Intel® 64 archit...
Enabling Connectionless DAPL UD in the Intel® MPI Library
Di Gergana Slavova (Intel)Pubblicato il 05/07/20131
What is DAPL UD? Traditional InfiniBand* support involves MPI message transfer over the Reliable Connection (RC) protocol. While RC is long-standing and rich in functionality, it does have certain drawbacks: since it requires that each pair of processes setup a one-to-one connection at the start ...
Controlling Process Placement with the Intel® MPI Library
Di James Tullos (Intel)Pubblicato il 04/01/20130
When running an MPI program, process placement is critical to maximum performance.  Many applications can be sufficiently controlled with a simple process placement scheme, while some will require a more complex approach.  The Intel® MPI Library offers multiple options for controlling process pla...
Intel® Trace Collector Filtering
Di James Tullos (Intel)Pubblicato il 03/14/20130
Filtering in the Intel® Trace Collector will apply specified filters to the trace collection process.  This directly reduces the amount of data collected.  The filter rules can be applied either via command line arguments or in a configuration file (specified by the environment variable VT_CONFIG...
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mpd failed to boot
Di Chao M.3
Hi all, When I try to run mpdboot on single node (RHEL7), but I got error message: [root@hpc-test intel64]# mpd & [1] 3527 [root@hpc-test intel64]# mpd_uncaught_except_tb handling:   <type 'exceptions.IndexError'>: list index out of range     /opt/intel/impi/5.0.2.044/intel64/bin/mpd  264  pin_Uni_num         if list.index(list[i]) == i:     /opt/intel/impi/5.0.2.044/intel64/bin/mpd  1449  pin_Cpuinfo         info['cache1'] = pin_Uni_num(info['cache1_id'], info['lcpu'])     /opt/intel/impi/5.0.2.044/intel64/bin/mpd  1658  run         self.CpuInfo = pin_Cpuinfo(self.PinCase,self.Arch)     /opt/intel/impi/5.0.2.044/intel64/bin/mpd  3676  <module>         mpd.run() I use I_MPI_CPUINFO=proc to work around, but I don't know what cause it, and how to fix it correctly? Thank you for your help. Thanks, Chao  
Trying to use I_MPI_PIN_DOMAIN=socket
Di William N.3
I'm running on an IBM cluster with nodes that have dual socket Ivy Bridge processors and 2 Nvidia K40 Tesla cards.  I'm trying to run with 4 MPI ranks using Intel MPI 5 Update 2 with a single MPI rank for each socket.  I'm trying to learn how to do this by using a simple MPI Hello World program that prints out the host name, rank and cpu ID.  When I run with 2 MPI ranks, my simple program works as expected.  When I run with 4 MPI ranks and use the mpirun that comes with Intel MPI, all 4 ranks run on the same node that I launched from.  I am doing this interactively and get a set of two nodes using the following command: qsub -I -l nodes=2,ppn=16 -q k20 I am using the following commands to run my program: source /opt/intel/bin/compilervars.sh intel64; \ source /opt/intel/impi_latest/intel64/bin/mpivars.sh; \ export I_MPI_DAPL_PROVIDER=ofa-v2-mlx4_0-1u; \ /opt/intel/impi_latest/intel64/bin/mpirun -genv I_MPI_PIN=1 -genv I_MPI_PIN_DOMAIN=socket -n 4 hw_ibm_impi If I use a different ...
Multiple Versions of Intel MPI Library Runtime on one machine
Di adambruss4
Hi Intel we appreciate all the time and effort you put into your products. We have a question about installing multiple versions of the Intel MPI Library Runtime Environment on one machine. How can one have multiple versions of the Intel MPI Library Runtime Environment installed on the same machine? We are asking because some versions of our software use 4.0 and some use 4.1. In the near future another version may use 5.0. There seems to be a conflict because the Windows services all use the same name.  Thanks for the great products, Adam Bruss
How to initiate MPI in the Fortran subroutine?
Di dingjun.chencmgl.ca0
Hi, All, I am using Intel MPI and OpenMP. My application is a hybrid MPI and OpenMP Fortran-code application. Currently it is tested on a multicore computers. My question for you is as follows: Can I initiate MPI processes and  run all MPI subroutines  within a Fortran subroutine? The details are given as follows: program xsamg2014 implicit none .......................... /* Before calling xsamg, all codes are only OpenMP codes */  /*OpenMP Fortran codes  */ ..................................... /* call xsamg to initial MPI processes call xsamg (.........)   // all MPI processes are with this subroutine xsamg(.....) /* After finish calling XSAMG, then all others codes are OpenMP codes ***/ /*OpenMP Fortran codes*/ end program xsamg2014   subroutine xsamg(......, ....,.....) implicit none call  MPI_INIT()  call MPI_COMM_SIZE(MPI_COMM_WORLD, count) call MPI_COMM_RANK(MPI_COMM_WORLD, myid)  ........................................................ /* doing  some computation work with MP...
mpi_type_vector three dimensional
Di diedro1
Dear all, I have a three dimensional array AA(:,:,:) and I would like to sent it, or at least part of it from one CPU to another. The idea is to combine MPI_TYPE_VECTOR. This is my program. I do not understand it, sometimes it works and some time not. What do you think? program vector USE mpi IMPLICIT NONE integer SIZE_ parameter(SIZE_=4) integer numtasks, rank, source, dest, tag, i, ierr real*4 AA(SIZE_,5,4), BB(SIZE_,5,4) integer stat(MPI_STATUS_SIZE), rowtype,colrowtype !Fortran stores this array in column major order AA=0. AA(1,1,1)= 1.0 AA(1,1,2)= 4.0 AA(1,1,3)= 10.0 AA(1,1,4)= 33.0 AA(2,1,1)= 10.0 AA(2,1,2)= 40.0 AA(2,1,3)= 100.0 AA(2,1,4)= 330.0 CALL MPI_INIT(ierr) CALL MPI_COMM_RANK(MPI_COMM_WORLD, rank, ierr) CALL MPI_COMM_SIZE(MPI_COMM_WORLD, numtasks, ierr) CALL MPI_TYPE_VECTOR(5, 5, 5, MPI_REAL, rowtype, ierr) CALL MPI_TYPE_COMMIT(rowtype, ierr) CALL MPI_TYPE_VECTOR(4, 4, 4, rowtype, colrowtype, ierr) CALL MPI_TYPE_COMMIT(colro...
Can't install Parallel Studio XE 2015 Update1 on Scientific Linux 6.6
Di Zhenzhen B.0
When I install Parallel Studio XE 2015 Update1 on Scientific Linux 6.6, the message shows: ------------------------------------------------------------------------------------------------------------------------------------- Missing optional prerequisites -- Intel(R) MPI Library, Development Kit 5.0 Update 1 for Linux* OS: Unsupported OS -- Intel(R) Trace Analyzer and Collector 9.0 Update 1 for Linux* OS: Unsupported OS -- Intel(R) VTune(TM) Amplifier XE 2015: Unsupported OS -- Intel(R) Inspector XE 2015: Unsupported OS -- Intel(R) Advisor XE 2015: Unsupported OS -- Intel(R) Parallel Studio XE 2015 Composer Edition for C++ Linux*: Unsupported OS -- Intel(R) Parallel Studio XE 2015 Composer Edition for Fortran Linux*: Unsupported OS -- Intel(R) Parallel Studio XE 2015 Composer Edition for Fortran and C++ Linux*: Unsupported OS ---------------------------------------------------------------------------------------------------------------------------------------- And when I type a sele...
Can't install Parallel Studio XE 2015 Update1 on CentOS 6.6
Di Satoshi Ohshima8
Hi, I'm trying to install (upgrading) Parallel Studio XE 2015 Update1. However, the installer causes segmentation fault. Do you know any solutions? Target system has Xeon E5-2697 v2 and CentOS 6.6 is installed. Parallel Studio XE 2015 (Initial Release) is already installed without any errors. Following text is all output string of "./install.sh". The line 582 contains only "fi". -------------------------------------------------------------------------------- Initializing, please wait... -------------------------------------------------------------------------------- ./install.sh: line 582: 5226 Segmentation fault "$pset_engine_cli_binary" --TEMP_FOLDER="$temp_folder" --PSET_PWD="$runningdir" $params $@   kind regards
MPI Library Runtime Enviroment 4.0
Di Pablo V.1
Hello, I am working by using remote deskpot of Cornell University servers and I have not internet conection in my deskpot. I am using Visual Studios 2008 with Intel Visual Fortran Composer XE 2011, and supposedly it has already installed MPI Library Runtime Enviroment 4.0 I can´t find the files msmpi.lib or impi.lib, or the include path. Nevertheless, I found the folder with other files like mpichi2mpi.dll, impi.dll, impimt.dll,mpiexec.ex, wmpiexec.exe, etc. The package ID in the support file is w_mpi_rt_p_4.0.1.007 listed    How can I include .dll mpi files to my code?  Thanks,
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Licensing

  • What kinds of licenses are available for the Intel® MPI Library?
  • The Runtime license includes everything you need to run Intel MPI-based applications. The license is free and permanent. The Developer license includes everything needed to build and run applications. It is fee-based and permanent. It allows free redistribution of the components needed to run Intel MPI-based applications.

  • When is a Developer license required for the Intel® MPI Library?
  • The two kits (developer and runtime) can co-exist on a machine and it is fine for customers of Intel MPI-based applications to relink the application to include user subroutines. If the customer is actually writing MPI code (calling MPI_* functions directly), then a Developer license would be needed.

  • I am an ISV and am planning to ship my product with Intel® MPI Library. Do my customers have to buy the Intel® MPI Library Development Kit in order to use my software?
  • No. There are currently 3 different models if ISVs want to ship with Intel MPI Library.
    1) An ISV can redistribute the runtime components of the Intel MPI Library available from the development kit (see the redist.txt file in the Intel MPI Library installation directory for list of redistributable files).
    2) If a customer would rather install the Intel MPI Library as a system component, the Runtime Environment Kit can be downloaded free of charge from the Intel MPI Library product page.
    3) The Intel® MPI Library Runtime Environment (RTO) can be pre-installed by the vendor and shipped with the application.

Downloads

Compatibility

  • Does the Intel® MPI Library support 32-bit applications on 64-bit operating systems?
  • No. The Intel® MPI Library only supports 64-bit apps on 64-bit operating systems on Intel® 64. For more details, visit our Deprecation page.

  • Is there a Microsoft* Windows* version of the Intel® MPI Library?
  • Yes. The Intel MPI Library for Windows is available now.

  • Does the Intel MPI Library run on AMD platforms?
  • Yes. The Intel® MPI Library is known to run on AMD platforms, and we have had no issue reports specific to AMD platforms so far.

  • Does the Intel® MPI Library support parallel I/O calls?
  • Yes. The parallel file I/O part of the MPI-2 standard is fully implemented by the Intel® MPI Library 5.0. Some of the currently supported file systems include Unix File System (UFS), Network File System (NFS), Parallel Virtual File System (PVFS2), and Lustre*.  For a complete list, check the Release Notes.

  • Does the Intel® MPI Library support one-sided communication?
  • Yes. The Intel® MPI Library supports both active target and passive target one-sided communication. The only exception is the passive target one-sided communication in case the target process does not call any MPI functions. Further support is available through the new one-sided calls and memory models in MPI-3.0.

  • Does the Intel® MPI Library support heterogeneous clusters?
  • Yes. The Intel® MPI Library now supports clusters running different operating systems as well as an environment of mixed Intel processors. The library provides default optimizations depending on the detected architecture.

  • What DAPL* version does the Intel® MPI Library support?
  • The Intel® MPI Library uses Direct Access Programming Library (DAPL) as a fabric independent API to run on fast interconnects like InfiniBand* or Myrinet*. Currently the Intel MPI Library supports DAPL* version 1.1, 1.2 as well as DAPL* version 2.0-capable providers. Intel MPI automatically determines the version of DAPL standard to which the provider conforms.

  • What compilers does the Intel® MPI Library support?
  • The Intel® MPI Library supports Intel® Compilers 13.1 through 15.0 (or higher), as well as GNU* C, C++, Fortran77 3.3 or higher, and GNU* Fortran95 4.0 or higher. Additionally, the Intel® MPI Library provides a bundled source kit that offers support for the PGI* C, PGI* Fortran 77, and Absoft* Fortran 77 compilers out of the box, with the following caveats:

    • The PGI* compiled source files must not transfer long double entities
    • The Absoft* based build procedure must use the -g77, -B108 compiler option
    • You must take care of installing and selecting the right compilers
    • You must make sure that the respective compiler runtime is installed on all nodes

    You may have to build extra Intel® MPI binding libraries if you need support for PGI* C++, PGI* Fortran 95, and Absoft* Fortran 95 bindings. If you need access to this additional binding kit, contact us via the Intel® Premier Support portal @ http://premier.intel.com

  • Does the Intel® MPI Library work with any common resource managers?
  • Yes. The Intel® MPI Library supports OpenPBS*, PBS Pro*, Torque, LSF*, Parallelnavi*, NetBatch*, SLURM*, SGE*, LoadLeveler* and Lava* batch schedulers. The simplified job startup command mpirun recognizes when it is run inside a session started by any PBS compatible resource manager (like OpenPBS*, PBS Pro*, Torque*), as well as LSF*. See the Intel® MPI Library Reference Manual for a description of this command.

  • I have a mixed application which uses both MPI and OpenMP* calls. Does the Intel® MPI Library support this type of hybrid functionality?
  • Yes, Intel MPI does support mixed MPI/OpenMP applications.

Technical

  • Is the Intel® MPI Library fault-tolerant?
  • Yes, to an extent. Note that the MPI standard does not yet define proper handling of aborted MPI ranks. By default, the Intel® MPI Library will stop the entire application if any of the processes exit abnormally. This behavior can be overwritten via a runtime option where the library does allow for an application to continue execution even if one of the processes stops responding. Check the Intel® MPI Library Reference Manual for details and application requirements.

  • Is the Intel® MPI Library thread safe?
  • Yes. The Intel® MPI Library includes thread safe libraries at level MPI_THREAD_MULTIPLE. Several threads can make the Intel MPI Library calls simultaneously. Use the compiler driver -mt_mpi option to link the thread safe version of the Intel MPI Library. Use the thread safe libraries if you request the thread support at the following levels:

    MPI_THREAD_FUNNELED,
    MPI_THREAD_SERIALIZED, or
    MPI_THREAD_MULTIPLE.

  • How can I learn what version of the Intel® MPI Library is installed on the system?
  • You can use mpirun –V to get versioning and build information:

    mpirun –V
    This will output version information.

    If this is an official package, look up the mpisupport.txt file or the Release Notes and search for a version information there:
    cat /opt/intel/mpi/5.0/mpisupport.txt

    If Intel MPI has been installed in RPM mode, try to query the RPM database:
    rpm –qa | grep intel-mpi

    Finally, for full build identification information, set I_MPI_VERSION to 1 and run any MPI program, grepping for "Build":
    mpirun –n 2 –env ./a.out | grep –i build
    This will turn up a couple of lines with the build date. Most of this information is also imbedded into the library and can be queried using the strings utility:
    strings /opt/intel/mpi/5.0/lib/libmpi.so | grep –i build

Intel® MPI Library 5.0

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