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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

    NumPy/SciPy Application Note Step 1 - Overview This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library ...

  2. 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.

  3. 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 ...

  4. Accelerating NumPy and SciPy Performance with Intel® Math Kernel ...

    https://software.intel.com/en-us/articles/accelerating-numpy-and-scipy-performance-with-intel-math-kernel-library-for-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 ...

  5. 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

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

  6. Configure number of processors available to MKL NumPy

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

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

  7. Python Pandas - pandas Missing required dependencies ['numpy']

    https://software.intel.com/en-us/forums/intel-distribution-for-python/topic/709352

    Jan 22, 2017 ... I updated conda with "conda update conda", but after update i started to fail " import pandas as pd" with error message pandas Missing required ...

  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. 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:

  10. where is numpy and scipy

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

    Feb 4, 2016 ... If you still can't import NumPy after adding the Installation and Scripts directories to your PATH, please let me know. Thanks. Top. Log in to post ...

  11. Link error when building numpy with MKL on Windows

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/698182

    Oct 3, 2016 ... I'm now building numpy on my Windows 7 following this guide: ... When I did the step 4, complied numpy with the indicated line:.

  12. Numpy: LAPACK and BLAS libraries not found

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

    Hello!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.

  13. 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 ...

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

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

    Sep 18, 2013 ... Building NumPy 1.8.0b2 on Linux with Python 3 and MKL 11.1. When I try to import numpy, I get "ImportError: ...

  15. Numpy linked against MKL not utilizing all cores

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/559687

    Jun 9, 2015 ... Hey Guys, I'm using MKL to speed up numpy and doing some benchmark of matrix multiplication. Mostly I followed the instruction in ...

  16. Yocto, How to install packages: python-serial python-pyparsing ...

    https://software.intel.com/en-us/forums/internet-of-things/topic/532046

    In debian i can to run: sudo apt-get install python-opencv python-serial python- pyparsing python-numpy python-wxgtk2.8 How to do it on yocto?

  17. 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, ...

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

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/392223

    Hi, 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 ...

  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 closest ...

  20. [icc + MKL 11.1 + NumPy] numpy.test() error: undefined symbol ...

    https://software.intel.com/en-us/forums/intel-math-kernel-library/topic/532637

    Oct 9, 2014 ... I am trying to compile NumPy 1.8.1 with icc 14.0.1 20131008 and MKL 11.1. The compilation succeeds, but when I run numpy.test() the test fails ...

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