Библиотека Intel® Math Kernel Library

Intel® Parallel Studio XE 2015 Update 6 Composer Edition for Fortran Linux*

Intel® Parallel Studio XE 2015 Update 6 Composer Edition for Fortran Linux includes the latest Intel Fortran compilers and performance libraries for IA-32, Intel® 64, and Intel® Many Integrated Core (Intel® MIC) architecture systems. This new product release now includes: Intel® Fortran Compiler 15.0.6, Intel® Math Kernel Library (Intel® MKL) Version 11.2 Update 4, GNU* GDB 7.8 IA-32/Intel® 64 debuggerGNU* GDB 7.7 Intel® Xeon Phi™ coprocessor debugger. 

New in this release:

  • Разработчики
  • Linux*
  • Fortran
  • Редакция Intel® Parallel Studio XE Composer
  • Intel® Fortran Compiler
  • Библиотека Intel® Math Kernel Library
  • Intel® Parallel Studio XE 2015 Update 6 Composer Edition for C++ Linux*

    Intel® Parallel Studio XE 2015 Update 6 Composer Edition for C++ Linux includes the latest Intel C/C++ compilers and performance libraries for IA-32, Intel® 64, and Intel® Many Integrated Core (Intel® MIC) architecture systems.

  • Разработчики
  • Linux*
  • C/C++
  • Редакция Intel® Parallel Studio XE Composer
  • Intel® C++ Compiler
  • Библиотека Intel® Math Kernel Library
  • Компоненты Intel® Threading Building Blocks
  • Intel® Integrated Performance Primitives
  • The difference in the common sparse solver function result and cluster sparse solver function result

    Hello.

    I'm Using MKL Pardiso Sparse Solver (PARDISO).

     

    Some time ago, I Using Intel Parallel Studio 2013 Version (MKL 11.2).

    Recently, I'm Update Intel Parallel Studio 2016 (MKL 11.3).

    This Version Support Cluster Sparse Solver. so I using this Function.

    But Solving result is difference. (about 0.02)

     

     

    Originally does the other result come out?

    Or is there the condition getting the little more exact result?

    Question about Parallel thread number of Pardiso

    Hi all,

    In my program, I am not set restriction of OpenMP thread number, but I found it only using 4 OpenMP threads on my machine. Why?

     

    My CPU configuration is (reported by Intel VTune ):
    Name: Intel(R) Core(TM) Processor 2xxx Series
    Frequency: 2.2 GHz
    Logical CPU Count: 8 

     

    OS is windows 10.

     

    Following is console output by pardiso and openmp while setting KMP_SETTINGS=1 and pardiso message level parameter to 1:

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