Intel® MPI Library

Intel® MPI Library 5.1 Update 3 Build 223 Readme

The Intel® MPI Library is a high-performance interconnect-independent multi-fabric library implementation of the industry-standard Message Passing Interface, v3.0 (MPI-3.0) specification. This package is for MPI users who develop on and build for Intel® 64 architectures on Linux* and Windows*, as well as customers running on the Intel® Xeon Phi™ coprocessor on Linux*. You must have a valid license to download, install, and use this product.

  • Linux*
  • C/C++
  • Fortran
  • Intel® MPI Library
  • Message Passing Interface (MPI)
  • Cluster Computing
  • Intel® MPI Library 5.1 Update 3 Fixes List

    NOTE: Defects and feature requests described below represent specific issues with specific test cases. It is difficult to succinctly describe an issue and how it impacted the specific test case. Some of the issues listed may impact multiple architectures, operating systems, and/or languages.

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Intel® MPI Library
  • Message Passing Interface (MPI)
  • Cluster Computing
  • Process and Thread Affinity for Intel® Xeon Phi™ Processors

    The Intel® MPI Library and OpenMP* runtime libraries can create affinities between processes or threads, and hardware resources. This affinity keeps an MPI process or OpenMP thread from migrating to a different hardware resource, which can have a dramatic effect on the execution speed of a program.
  • Professors
  • Students
  • Linux*
  • Modern Code
  • Intermediate
  • Intel® MPI Library
  • Message Passing Interface (MPI)
  • OpenMP*
  • Knights Landing
  • Cluster Computing
  • Intel® Many Integrated Core Architecture
  • Parallel Computing
  • Threading
  • Intel® MPI Library: Supporting the Hadoop* Ecosystem

    For decades, MPI has dominated as the model to use in distributed calculations. However, with high-performance computing (HPC) incorporating workloads requiring processing of huge volumes of input data, new approaches and frameworks have appeared. The most popular ones are the Apache Hadoop* MapReduce paradigm in general and the Hadoop software stack (including all tools and frameworks running on top of it) in particular.

  • Linux*
  • Intel® MPI Library
  • Message Passing Interface (MPI)
  • Apache Hadoop*
  • Big Data
  • Getting Started

    Before using the MPI tuner for Intel® MPI Library, ensure that the library, scripts, and utility applications are installed. See the Intel® MPI Library Getting Started Guide for instructions.

    The general workflow of using the MPI tuner is as follows:

    Getting Started

    Before using the MPI tuner for Intel® MPI Library, ensure that the library, scripts, and utility applications are installed. See the Intel® MPI Library Getting Started Guide for instructions.

    The general workflow of using the MPI tuner is as follows:

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