Intel(R) MKL

Illegal instruction on machine with AMD Jaguar processor

Product : Intel® Math Kernel Library (Intel® MKL)

Version : Intel® MKL 11.*  including and 11.2 beta

Operating Systems affected: Windows* OS, Linux * OS and OS X*

Reference Number :  DPD200521692

Problem Description : 

  • Sviluppatori
  • Partner
  • Professori
  • Studenti
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Esperienza utente
  • Windows*
  • Intel® Math Kernel Library
  • Intel(R) MKL
  • CPU dispatching
  • AMD CPU
  • AMD Jaguar
  • AMD A6 5200
  • AMD A4-1250
  • Summary of the API differences between University of Basel (UB) PARDISO* and Intel® MKL PARDISO

    The release of PARDISO* 4.0 from the University of Basel (UB) is not backward compatible with PARDISO from the Intel® MKL 10.3 and earlier and thus introduces some incompatibilities with the implementation of PARDISO that is available with the Intel® MKL
  • Intel® Math Kernel Library
  • pardiso
  • Intel(R) MKL
  • PARDISO* 4.0
  • Intel® Math Kernel Library 10.3
  • Intel® MKL and C++ template libraries

    There are a few existing open source C++ template libraries that can be linked with Intel® MKL. Please refer to the documentation placed on the web-pages of the C++ libraries. Feel free to choose the package that mostly fits your needs and/or C++ style.
  • Intel® Math Kernel Library
  • Intel(R) MKL
  • open source apps
  • C++ template libraries
  • Eigen
  • Armadillo
  • MTL4
  • BOOST uBLAS
  • Trilinos
  • Ottimizzazione
  • New matrix vector product BLAS routines

    Starting with the version 10.3, Intel® MKL provides BLAS Level 2 routines for computing two matrix-vector products for a dense matrix.
  • Linux*
  • Apple OS X*
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Fortran
  • Compilatore C++ Intel®
  • Compilatore Fortran Intel®
  • Intel® Math Kernel Library
  • Intel(R) MKL
  • BLAS Level 2
  • D/S GEM2VU
  • Z/C GEM2VC
  • DSYMV
  • Nechalem
  • Iscriversi a Intel(R) MKL