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  1. Numpy/Scipy with Intel® MKL and Intel® Compilers | Intel® Software

    https://software.intel.com/en-us/articles/numpyscipy-with-intel-mkl

    Jun 28, 2012 ... This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).

  2. Building Numpy/Scipy with Intel® MKL and Intel® Compilers on ...

    https://software.intel.com/en-us/articles/building-numpyscipy-with-intel-mkl-and-intel-fortran-on-windows

    Feb 12, 2015 ... NumPy/SciPy Application NoteStep 1 - Overview This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math ...

  3. GT-Py: Accelerating NumPy Programs with Minimal Programming ...

    https://software.intel.com/en-us/blogs/2016/03/22/gt-py-accelerating-numpy-programs-with-minimal-programming-effort

    Mar 22, 2016 ... GT-Py is a newly developed just-in-time compiler that can offload NumPy code to hardware accelerators with relatively little programming effort.

  4. Configure number of processors available to MKL NumPy

    https://software.intel.com/en-us/forums/intel-distribution-for-python/topic/567669

    Aug 10, 2015 ... Is there a config file or a command line parameter to set the number of available processors for MKLnumpy to take advantage of? Thanks.

  5. Numpy MKL: library is not detected

    https://software.intel.com/fr-fr/forums/intel-math-kernel-library/topic/500458

    hi guys, I have installed MKL 10.3 update 3 on Debian 5 (x86_64). I would like to use it with Numpy. So I followed the instructions on how to compile Numpy ...

  6. Problem building 64 bit numpy using MKL and vc11 (Windows)

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/532319

    Oct 2, 2014 ... Hi, I've built numpy (1.9) 64 bit using vc11, the Intel Fortran compiler and the MKL 'mkl_rt' library. *why? (see end of message for the reason, ...

  7. Powered by MKL Accelerating NumPy and SciPy Performance with ...

    https://software.intel.com/en-us/articles/powered-by-mkl-accelerating-numpy-and-scipy-performance-with-intel-mkl-python

    Oct 23, 2013 ... NumPy/SciPy are scientific libraries for Python. R is a programming language for statistics computing. These tools, especially their open source ...

  8. MKL numpy/scipy not passing tests

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/505993

    Feb 22, 2014 ... Hi, I've been pulling my hair out for a few days trying to get a build of numpy/scipy against the MKL to pass all the scipy tests. I've ran out of ...

  9. where is numpy and scipy

    https://software.intel.com/en-us/forums/intel-distribution-for-python/topic/608981

    Feb 4, 2016 ... new to python how to import numpy and scipy which are installed by the installer ? i got error calling the command import numpy.

  10. Error running NumPy example: MKL FATAL ERROR: Cannot load ...

    https://software.intel.com/fr-fr/forums/intel-math-kernel-library/topic/392223?language=en

    I built NumPy and SciPy according to the instructions posted at http://software. intel.com/en-us/articles/numpyscipy-with-intel-mkl. I'm using the free version of ...

  11. Numpy+MKL install fails: Could not locate executable icc

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/536412

    Nov 25, 2014 ... I followed the build instruction on intel's website closely but when get to building numpy I get the following message:

  12. Compiling NumPy+MKL on Windows with Composer XE 2013 SP1

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/518246

    Jul 18, 2014 ... Just bought the entire Composer XE 2013 SP1 package to compile NumPy/SciPy on a Windows Platform. numpy-1.8.1 scipy-0.13.3 What are ...

  13. Speeding up Python* scientific computations | Intel® Software

    https://software.intel.com/en-us/node/600681

    Includes modules for linear algebra, statistics, integration, Fourier transforms, ordinary differential equations solvers, and more. Depends on NumPy for fast N ...

  14. NumPy ImportError: libmkl_avx.so: undefined symbol ...

    https://software.intel.com/de-de/forums/intel-math-kernel-library/topic/473447

    I'm running Ubuntu 13.04, and have the latest versions of the MKL, icc, and ifort. I' m trying to build NumPy 1.8.0beta2 and have been running into an unusual ...

  15. Numpy: LAPACK and BLAS libraries not found

    https://software.intel.com/fr-fr/forums/intel-math-kernel-library/topic/280884

    I have installed the MKL 10.3.7.256 (64 bits) on my Linux Slackware and now, I want to install the numpy and scipy packages. But, when I try to make this, the ...

  16. Runtime error of numpy in MKL 11.1 on 32bit Linux

    https://software.intel.com/fr-fr/forums/intel-math-kernel-library/topic/289948

    We built quite a number of packages with various versions of Intels compilers. Currently we are facing a problem during the port of numpy v1.4.1 with Intel ...

  17. Unable to build scipy with mkl on ubuntu 12.04

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/277619

    Jun 26, 2012 ... Hi, I am trying to build numpy and scipy on 64-bit Ubuntu 12.04 with Intel MKL. I have installed all the prerequisites. The INTEL C++ complier ...

  18. Problem building numpy and scipy with MKL

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/591981

    Sep 7, 2015 ... After building numpy when I try to run the tests I get the error: undefined symbol: _intel_fast_memset I'm not sure where that is coming from, ...

  19. compiling and linking MKL with numpy/scipy

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/280832

    Nov 22, 2011 ... dear everyone, I am hard trying to compile numpy / and scipy with mkl. unfortunately it does not work. i have tried a lot of solution, and the ...

  20. Intel® MKL with Numpy, Scipy, Matlab, C#, Python, NAG and more ...

    https://software.intel.com/en-us/articles/intel-mkl-and-third-party-applications-how-to-use-them-together

    May 7, 2012 ... The following article explains on using Intel® MKL with Numpy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, ...

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