Intel® Math Kernel Library

Intel® Parallel Studio XE 2015 Update 3 Composer Edition for Fortran Linux*

Intel® Parallel Studio XE 2015 Update 3 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 15.0.3, Intel® Math Kernel Library (Intel® MKL) Version 11.2 Update 3, GNU* GDB 7.8 IA-32/Intel® 64 debuggerGNU* GDB 7.7 Intel® Xeon Phi™ coprocessor debugger. 

New in this release:

  • Developers
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Fortran
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Math Kernel Library
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE 2015 Update 3 Composer Edition for C++ Linux*

    Intel® Parallel Studio XE 2015 Update 3 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.

  • Developers
  • Linux*
  • C/C++
  • Intel® C++ Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Integrated Performance Primitives
  • Intel® Math Kernel Library
  • Intel® Threading Building Blocks
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE 2015 Update 3 Composer Edition for C++ OS X*

    Intel® Parallel Studio XE 2015 Update 3 Composer Edition for C++ OS X* includes the latest Intel C/C++ compilers and performance libraries for IA-32 and Intel® 64 architecture systems. This new product release now includes: Intel® C++ Compiler 15.0.3, GNU* Project Debugger (GDB*) 7.8, Intel® Math Kernel Library (Intel® MKL) Version 11.2 Update 3, Intel® Integrated Performance Primitives (Intel® IPP) Version 8.2 Update 2, Intel® Threading Building Blocks (Intel® TBB) Version 4.3 Update 5

    New in this release:

  • Developers
  • Apple OS X*
  • C/C++
  • Intel® C++ Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Integrated Performance Primitives
  • Intel® Math Kernel Library
  • Intel® Threading Building Blocks
  • Intel® Parallel Studio XE Composer Edition
  • Input error in Pardiso error_num= 15

    Hi!

    I am a new user. When I try to compile my fortran code in Pardiso. I got some errors.

     *** Error in Pardiso < sequence_ido,parameters> error_num= 15

    *** Input check: matrix_type_new 0 <out of bounds>

    *** Input parameters: inconsistent error= 15 max_fac_store_in:1

         matrix_number_in: 1 matrix_type_in: 0

         ido_in                   : 33 neqns_in       : 10000

         ia<neqns_in+1>-1: 0 nb_in              : 1

     

    SOLVE COMPLETED ...

     

     

    Strange (and seemingly wrong) result from Pardiso

    I obtained strange (and seemingly wrong) result from Pardiso. I used Pardiso to solve a very ill-conditioned complex linear system arising from a circuital analysis of a three-dimensional conducting structure. I have no error from the analysis and numerical factorization phases.

    Data and results are reported in the attached document. For instance, the Pardiso parameters and log are reported in the table, for three cases (three frequencies of analysis). When not present, parameters have zero value.

    QR factorization without pivoting

    Hello,

    I'm trying to compute the solution of a singular square system using a QR factorization. When I'm using a QR factorization with pivoting (i.e. ?geqp3), everything works OK. However, I'm concerned about the cost of pivoting, and I'd rather use ?geqrf. The problem is that the computed vector is in this case not a solution of the original system, as shown in the code attached. Do you see what I'm doing wrong ? 

    Also, could you comment on the performance of ?geqp3 vs. ?geqrf ?

    Thank you.

    A bug in vsldConvExec

    I use 64-bit AMD Linux machine. When I run the test file (attached) I get wrong results with the current MKL 11.2 update 2:

    EXAMPLE executing a convolution task
    result: z[0]=1343342.8
    result: z[1]=1333310.3
    result: z[2]=1323248.1
    result: z[3]=1313220.0
    result: z[4]=1303165.3
    result: z[5]=1293145.8
    result: z[6]=1283102.6
    result: z[7]=1273095.5
    result: z[8]=1263067.9
    result: z[9]=1253077.2
    result: z[10]=1243069.1
    ...

    But when I switch to MKL 11.1 update 2 I get the correct results:

    Subscribe to Intel® Math Kernel Library