Intel® Math Kernel Library 10.1 Update 2 for Linux*
Release Notes

Contents

Overview
New in Intel® MKL
System Requirements
Installation Notes
Documentation
Known Limitations
Technical Support and Feedback
Related Products and Services
Disclaimer and Legal Information

 

Overview

 

The Intel® Math Kernel Library (Intel® MKL) provides developers of scientific, engineering and financial software with a set of linear algebra routines, fast Fourier transforms, and vectorized math and random number generation functions, all optimized for the latest Intel® Pentium® 4 processors, Intel® Xeon® processors with Streaming SIMD Extensions 3 (SSE3) and Intel® Extended Memory 64 Technology (Intel® EM64T), and Intel® Itanium® 2 processors. This software also performs well on non-Intel (x86) processors.

Intel® MKL provides linear algebra functionality with LAPACK (solvers and eigensolvers) plus level 1, 2, and 3 BLAS offering the vector, vector-matrix, and matrix-matrix operations needed for complex mathematical software computations. Users who prefer the FORTRAN 90/95 programming language may call LAPACK driver and computational subroutines via special interfaces with reduced numbers of arguments. Intel® MKL provides ScaLAPACK (Scalable LAPACK) and support functionality including the Parallel Basic Linear Algebra Subprograms (PBLAS). For solving sparse systems of equations, Intel® MKL provides direct and iterative sparse solvers as well as a supporting set of sparse BLAS (levels 1, 2, and 3).

Intel® MKL offers multidimensional fast Fourier transforms (1D, 2D, 3D) with mixed radix support (not limited to sizes of powers of 2). Intel® MKL also provides distributed versions of these functions for use on clusters. For the solution of partial differential equations (PDE), Intel® MKL provides a few preconditioners to help with the convergence of our iterative solvers. Optimization [Trust Region] solvers provide efficient routines for solving nonlinear least square problems with and without boundary constraints.

Intel® MKL also includes a set of vectorized transcendental functions (called the Vector Math Library (VML)) offering both greater performance and excellent accuracy compared to the libm (scalar) functions. The Vector Statistical Library (VSL) offers high performance vectorized random number generators for a number of probability distributions as well as convolution and correlation routines.

The BLAS, LAPACK, direct sparse solver (DSS/PARDISO), FFT, VML library functions, and optimization solvers in Intel® MKL are threaded using OpenMP*. All of Intel® MKL is thread-safe (with the exception of the deprecated ?lacon, ?lasq3, and ?lasq4 LAPACK routines; see the reference manual for more information).

 

New in Intel® MKL

 

New in Intel® MKL 10.1 Update 2

 

New in Intel® MKL 10.1 Update 1

 

New in Intel® MKL 10.1

System Requirements

 

Hardware

To install and use Intel® MKL you will need a system with a supported processor and 1.1 GB of free hard disk space plus an additional 400 MB during installation for download and temporary files (host system only).

Supported processors:

Software

To use Intel® MKL you will need a supported compiler and MPI implementation.

Following is the list of supported operating systems:

Following is the list of supported C/C++ and Fortran compilers:

Following is the list of MPI implementations that Intel® MKL has been validated against:

Note:

Installation Notes

 

Guidance on the installation of Intel® MKL is provided at install time. Links will be provided to a file with step-by-step instructions (filename: Install.txt). This file can also be found in the doc directory.

Documentation

 

The Documentation Index (mkl_documentation.htm in the doc directory) has a list of the principal Intel® MKL documents. For a complete list, see chapter 3 of the User's Guide.

 

NOTICES

 

The following change is planned for future versions of Intel MKL. Please contact customer support if you have concerns:

 

Known Limitations

 

A full list of known limitations in this version of Intel® MKL can be found on the support site (http://www.intel.com/software/products/support/mkl).

 

Technical Support and Feedback

 

Self Help and User Forums

A rich repository of self-help product information such as tutorials, getting started tips, known product issues, product errata, compatibility information and answers to frequently asked questions can be found at the Intel® Software Development Products Technical Support site (http://www.intel.com/software/products/support/index.htm). It's a great place to find answers quickly or to gain insight in using our products effectively.

The Intel® MKL User Forum (http://software.intel.com/en-us/forums/intel-math-kernel-library/) is the place to ask questions of and share information with other users of Intel® MKL.

Submitting Issues

Your feedback is very important to us. To receive technical support and product updates for the tools provided in this product you need to register at the Intel® Registration Center (https://registrationcenter.intel.com/).

If you have questions or problems getting started with the Intel® Math Kernel Library please contact support at https://registrationcenter.intel.com/support/.

Note: Please notify your support representative prior to submitting source code where access needs to be restricted to certain countries to determine if this request can be accommodated.

To submit an issue via the Intel® Premier Support website, please perform the following steps:

  1. Ensure that Java* and JavaScript* are enabled in your browser
  2. Go to http://premier.intel.com
  3. Type in your Login and Password. Both are case-sensitive
  4. Click the "Submit Issues" button
  5. Click on the "Development Environment" button next to the "Product Type" drop-down list
  6. Click on the " Intel(R) MKL for Linux*" button next to the "Product Name" drop-down list
  7. Enter the info to the required fields, and Click on the "Submit Issue" link in the left navigation bar
  8. Choose "Development Environment (tools,SDV,EAP)" from the "Product Type" drop-down list
  9. If this is a software or license-related issue choose " Intel(R) MKL for Linux*" from the "Product Name" drop-down list
  10. Enter your question and complete the fields in the windows that follow to successfully submit the issue

Please follow these guidelines when forming your problem report or product suggestion:

  1. Describe your difficulty or suggestion
    For problem reports please be as specific as possible (e.g., including compiler and link command line options), so that we may reproduce the problem. Please include a small test case if possible
  2. Describe your system configuration information
    Be sure to include specific information that may be applicable to your setup: operating system, name and version number of installed applications, and anything else that may be relevant to helping us address your concern

Related Products and Services

 

Information on Intel® software development products is available at http://www.intel.com/software/products. Some of the related products include:

Attribution

As referenced in the End User License Agreement, attribution requires, at a minimum, prominently displaying the full Intel product name (e.g. "Intel® Math Kernel Library") and providing a link/URL to the Intel® MKL homepage (www.intel.com/software/products/mkl) in both the product documentation and website.

The original versions of the BLAS from which that part of Intel® MKL was derived can be obtained from http://www.netlib.org/blas/index.html.

The original versions of LAPACK from which that part of Intel® MKL was derived can be obtained from http://www.netlib.org/lapack/index.html. The authors of LAPACK are E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen. Our FORTRAN 90/95 interfaces to LAPACK are similar to those in the LAPACK95 package at http://www.netlib.org/lapack95/index.html. All interfaces are provided for pure procedures.

The original versions of ScaLAPACK from which that part of Intel® MKL was derived can be obtained from http://www.netlib.org/scalapack/index.html. The authors of ScaLAPACK are L. S. Blackford, J. Choi, A. Cleary, E. D'Azevedo, J. Demmel, I. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley.

PARDISO in Intel® MKL is compliant with the 3.2 release of PARDISO freely distributed by the University of Basel. It can be obtained at http://www.pardiso-project.org.

Some FFT functions in this release of Intel® MKL have been generated by the SPIRAL software generation system (http://www.spiral.net/) under license from Carnegie Mellon University. Some FFT functions in this release of the Intel® MKL DFTI have been generated by the UHFFT software generation system under license from University of Houston. The Authors of SPIRAL are Markus Puschel, Jose Moura, Jeremy Johnson, David Padua, Manuela Veloso, Bryan Singer, Jianxin Xiong, Franz Franchetti, Aca Gacic, Yevgen Voronenko, Kang Chen, Robert W. Johnson, and Nick Rizzolo.

Disclaimer and Legal Information

 

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Intel may make changes to specifications and product descriptions at any time, without notice. Designers must not rely on the absence or characteristics of any features or instructions marked "reserved" or "undefined." Intel reserves these for future definition and shall have no responsibility whatsoever for conflicts or incompatibilities arising from future changes to them. The information here is subject to change without notice. Do not finalize a design with this information.
 

The products described in this document may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request.
 

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