Библиотека Intel® Math Kernel Library

Intel® MKL 11.3.3 patch

There are two listed below limitations with Intel® Math Kernel Library (Intel® MKL) 11.3 Update 3 which were discovered recently. The official fix of these issues will be available the nearest update Intel MKL 11.3.4.

If you require an immediate Intel MKL update to address these issues, please submit a ticket at Intel Premier Support (https://premier.intel.com) for the Intel MKL product.

Known Limitations: 

Intel® MKL 11.3.3 patch

There are two listed below limitations with Intel® Math Kernel Library (Intel® MKL) 11.3 Update 3 which were discovered recently. The official fix of these issues will be available the nearest update Intel MKL 11.3.4.

If you require an immediate Intel MKL update to address these issues, please submit a ticket at Intel Premier Support (https://premier.intel.com) for the Intel MKL product.

Known Limitations: 

  • FreeBSD*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Unix*
  • Fortran
  • Продвинутый
  • Начинающий
  • Средний
  • Библиотека Intel® Math Kernel Library
  • Intel® Advanced Vector Extensions
  • sgemm
  • DGEMM
  • Intel® AVX2
  • MKL PARDISO
  • Intel® Math Kernel Library 11.3 Update 3 is now available

    Intel® Math Kernel Library 11.3 Update 3 is now available

    Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that require maximum performance.

    Intel® Parallel Studio XE 2017 Beta invitation – please register and provide feedback!

    Intel® Parallel Studio XE 2017 Beta is introducing a lot of new features and a couple of new products.Please register for the Beta program, checkout the new features introduced in Intel® Math Kernel Library (Intel MKL) 2017 Beta and provide us feedback

    Registration Link: Click the link here for Registration

    What's new in Intel MKL:

    Deep Neural Network extensions for Intel MKL

        Deep neural network (DNN) applications grow in importance in various areas including internet search engines, retail and medical imaging. Intel recognizes importance of these workloads and is developing software solutions to accelerate these applications on Intel Architecture that will become available in future versions of Intel® Math Kernel Library (Intel® MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL).

    While we are working on new functionality we published a series of articles demonstrating DNN optimizations with Caffe framework and AlexNet topology:

    Calling Python Developers - High performance Python powered by Intel MKL is here!

    We are introducing a Technical Preview of Intel® Distribution of Python*, with packages such as NumPy* and SciPy* accelerated using Intel MKL. Python developers can now enjoy much improved performance of many mathematical and linear algebra functions, with up to ~100x speedup in some cases, comparing to the vanilla Python distributions. The technical preview is available for everybody at no cost. Click here to register and download.

    Intel Math Kernel Library for Free – requires registration, includes forum support, and permits royalty-free use

    Intel MKL is a popular math library used by many to create fast and reliable applications in science, engineering, and finance. Do you know it is now available for free (at no cost)? The community licensing program gives anyone, individuals or organizations, free license for the latest version of Intel MKL. There is no royalty for distributing the library in an application. The only restrictions are:

    Can't set number of threads >32 for Pardiso solver in MKL library

    I'm running the pardiso solver on a machine with CentOS 6.5 using Fortran.  I'm using MKL v 11.3

    When I set the number of threads using either environment variable MKL_NUM_THREADS or inside the Fortran code, using the mkl_set_num_threads() function, everything works as expected when I define the number of threads to be 32 or less.  Whenever, I set the number of the number of threads to be anything larger than 32, say for example 48, pardiso only sees 32 threads.

    Problem compiling MKL with OpenMP

    I'm trying to compile and load a code that uses MKL libraries to solve an eigenvalue problem. I use the following commands based on what the Intel MKL link line advisor tells me:

     

    ifort -c  -i8 -qopenmp -I${MKLROOT}/include $OPT dggev_solver.f

    ifort -o xgv_omp dggev_solver.o -I. -L${MKLROOT}/lib -Wl,-rpath,${MKLROOT}/lib -lmkl_intel_ilp64 -lmkl_core -lmkl_intel_thread -lpthread -lm -ldl

     

    However, when these are used, there seems to be symbols that are not found (see below):

     

    + OPT=-O2

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