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

Mapping of Intel® MPI Library versions to bundle suites
By Gergana Slavova (Intel)Posted 08/28/20140
Introduction: Mapping the Intel® MPI Library numbers to specific suites and update versions Intel® Parallel Studio XE 2015 Update 1 Cluster Edition (released 26 November 2014) Intel® MPI Library 5.0 Intel® Registration Center Activation Date (yr.mo.day) Windows Version / build Linu...
Using Intel® MPI Library 5.0 with MPICH based applications
By Dmitry Sivkov (Intel)Posted 08/25/20140
Why it is needed? Different MPI implementations have their specific benefits and advantages. So in the specific cluster environment the HPC application with the other MPI implementation can probably perform better.  Intel® MPI Library has the following benefits: Support of the wide range of cl...
NOAA NIM with Support for Intel® Xeon Phi™ Coprocessor
By Ashish Jha (Intel)Posted 07/03/20140
Non-hydrostatic Icosahedral Model is a weather forecasting model developed by NOAA. G6 K96 which is a smaller data-set which scales best up to 4 cluster nodes. G9 is useful for studying larger clusters. The code supports the symmetric mode of operation of the Intel® Xeon® processor (Referred to a...
Intel® Cluster Tools Open Source Downloads
By Gergana Slavova (Intel)Posted 03/06/20140
This article makes available third-party libraries and sources that were used in the creation of Intel® Software Development Products. Intel provides this software pursuant to their applicable licenses. Products and Versions: Intel® Trace Analyzer and Collector for Linux* gcc-3.2.3-42.zip (whi...
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Supplemental Documentation

Intel® Parallel Studio XE 2015 Update 2 Cluster Edition Readme
By Gergana Slavova (Intel)Posted 02/06/20150
The Intel® Parallel Studio XE 2015 Update 2 Cluster Edition for Linux* and Windows* combines all Intel® Parallel Studio XE and Intel® Cluster Tools into a single package. This multi-component software toolkit contains the core libraries and tools to efficiently develop, optimize, run, and distrib...
Intel® Parallel Studio XE 2015 Update 1 Cluster Edition Readme
By Gergana Slavova (Intel)Posted 11/24/20140
The Intel® Parallel Studio XE 2015 Update 1 Cluster Edition for Linux* and Windows* combines all Intel® Parallel Studio XE and Intel® Cluster Tools into a single package. This multi-component software toolkit contains the core libraries and tools to efficiently develop, optimize, run, and distrib...
Intel® Parallel Studio XE 2015 Cluster Edition Initial Release Readme
By Gergana Slavova (Intel)Posted 08/15/20140
The Intel® Parallel Studio XE 2015 Cluster Edition for Linux* and Windows* combines all Intel® Parallel Studio XE and Intel® Cluster Tools into a single package. This multi-component software toolkit contains the core libraries and tools to efficiently develop, optimize, run, and distribute paral...
Using Multiple DAPL* Providers with the Intel® MPI Library
By James Tullos (Intel)Posted 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...
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problem with the x86_64-k1om-linux-ld: warning
By Shaolong C.0
Hi dear staff, I try to compile the bwa (https://github.com/intel-mic/bwa-aln-xeon-phi-0.5.10) on xeon host for xeon phi, but I get some warnings like this: x86_64-k1om-linux-ld: warning: libimf.so, needed by /local/tmp.schen/lib/libz.so, not found (try using -rpath or -rpath-link) x86_64-k1om-linux-ld: warning: libsvml.so, needed by /local/tmp.schen/lib/libz.so, not found (try using -rpath or -rpath-link) x86_64-k1om-linux-ld: warning: libirng.so, needed by /local/tmp.schen/lib/libz.so, not found (try using -rpath or -rpath-link) x86_64-k1om-linux-ld: warning: libintlc.so.5, needed by /local/tmp.schen/lib/libz.so, not found (try using -rpath or -rpath-link) I try to solve it by using the -rpath like http://stackoverflow.com/questions/26653472/intel-compiler-warning-with-... But it still is unsuccessful, my account on xeon phi doesn't have the root permission, so I can't upload these files into xeon phi directly. Do you have any other methods to solve this problem? Thanks Regards...
How many processes we can run run HPL on with Intel MPI ?
By Nihir Parikh1
If we are using evaluation version of Intel MPI/compiler/MKL (cluster tools) how many cores/processes we can run HPL on?
problem when multiple MPI versions installed
By tangzhanghong98@yahoo.com7
Dear all, I have a problem to launch processes when multiple MPI versions installed. The processes work before I installed latest MPI 5.0.3.048: C:\Program Files (x86)\Intel\MPI\4.1.3.047>mpiexec -wdir "Z:\test" -mapall -hosts 10 n01 6 n02 6 n03 6 n04 6 n05 6 n06 6 n07 6 n08 6 n09 6 n10 6 Z:\test However, after I installed MPI 5.0.3.048, the following errors displayed when I launch mpiexec in the environment of 4.1.3.047: Aborting: unable to connect to N01, smpd version mismatch   I have already run the following command in the environment of 5.0.3.048 before launching mpiexec: hydra_service -stop   Could anyone help me to take a look at it? Is it possible to let both versions work in the cluster?   Thanks, Zhanghong Tang  
Intel MPI 3.2.2.006 and Supported OS and number of cores per machine
By Michael Charissis1
Has intel made a statement as to the last know good version of Red Hat that supports Intel MPI 3.2.2.006.  We have a new cluster with 20 cores/per node and have observed a fortran system call failing when more than 15 core per node are used.  This machine is running Red Hat 6.6 x86_64. Alternatively are their known conditions where Intel MPI 3.2.2.006 will fail.
Bug Report : MPI_IRECV invalid tag problem
By Xudong X.1
Hi, there, In MPI_5.0.3, the MPI_TAG_UB  is set to be 1681915906.  But internally, the  upper bound is  2^29 = 536870912, as tested out by the code attached. Same code will run just fine in MPI 4.0.3. Just to let you guys know the problem. Hope to see the fix soon. Thanks. Xudong Encl: 2-1. Source Code !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! program main implicit none include"mpif.h" real :: ibuf(10000) integer ,save  :: tag=2**29-1,ierr integer :: req(MPI_STATUS_SIZE,2) CALL MPI_INIT(ierr) write(*,*)"Tag_UB=", MPI_TAG_UB, TAG CALL MPI_IRECV(ibuf, 1000_4, MPI_REAL, 0, tag, MPI_COMM_WORLD, req(1,1), ierr) write(*,*)"Pass ..." tag = tag+1 write(*,*)"Tag_UB=", MPI_TAG_UB, TAG CALL MPI_IRECV(ibuf, 1000_4, MPI_REAL, 0, tag, MPI_COMM_WORLD, req(1,2), ierr) PAUSE end !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 2-2. The screen output is as follows: Tag_UB=  1681915906   536870911  Pass ...  Tag_UB=  1681915906   536870912 Fatal error in ...
mpivars.sh to build path automatically
By Tiago M.10
Looks like on Linux the intel MPI runtime hardcodes the path of mpivars.sh, eg: I_MPI_ROOT=/opt/intel/impi/4.1.3.049; export I_MPI_ROOT On windows on the other hand the path is dynamically generated: SET I_MPI_ROOT=%~dp0..\.. Is there any reason to why the path cannot also be automatically generated on Linux? http://stackoverflow.com/questions/242538/unix-shell-script-find-out-whi... We have two situations were this would help: 1 - redistributing the mpi runtime with our application, and 2 - having machines with that folder mounted into different mount points.
License File Activation
By KK1
I just received my serial number of single user Intel Cluster Studio 2015 (Linux).  I had done product registration and generated a license file.  However, the license file generation page didn't show any information or steps of "how to apply the license file"... I am using an evaluation version of Intel Cluster Studio 2015 in Linux workstation.   So, I want to use the above license file.  I copy the license file into /opt/intel/license folder.  Do I need to execute any command?  Is there any guidelines or info. Thx.
MPI 5.0.2.044 Library Link Error
By dingjun.chencmgl.ca4
Hi, Everyone, Under Linux OS, I built my MPI application with Intel MPI 5.0.2.044.  There is no error in compiling but there are following error in linking MPI library. I am using the Intel MPI's  libmpifort.a and libmpi_mt.a for linking my application. LIBS          = -L/opt/intel/composer_xe_2013_sp1.2.144/mkl/lib/intel64 -lmkl_intel_lp64 \                 -lmkl_intel_thread -lmkl_core /net/rdnas/home/dingjun/intel/impi/5.0.2.044/intel64/lib/libmpi_mt.a /net/rdnas/home/dingjun/intel/impi/5.0.2.044/intel64/lib/libmpifort.a The following error occurred:   /net/rdnas/home/dingjun/intel/impi/5.0.2.044/intel64/lib/libmpi_mt.a(dapl_scan.o): In function `I_MPIC_coll_scan': /tmp/mpi5.xtmpdir.7b663e0dc22b2304e487307e376dc132.15926_32e/mpi5.32e.ww44.20141030/dev/x86_64/release_mt/../../src/mpid/ch3/channels/nemesis/netmod/dapl/coll/dapl_utils.h:758: undefined reference to `__I_MPI__intel_fast_memcpy' /net/rdnas/home/dingjun/intel/impi/5.0.2.044/intel64/lib/libmpi_mt.a(dapl_scatter.o): In...
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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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