Intel® MKL 11.0 beta Release Notes
Release Notes for Intel MKL 11.0 beta Type: Technical Notes |
mkl 11.0 |
05/18/2012
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Intel® MKL and third-party applications: How to use them together?
The following article brings your attention the link to the all articles describing How Intel(R) MKL can be used with third-party libraries or application Type: Technical Notes,Landing & Links |
scipy numpy matlab mkl python mkl C# mkl java mkl hpl mkl nag mkl hpcc mkl imsl mkl gromacs mkl wrf mkl |
05/07/2012
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Conditional Bitwise Reproducibility (CBWR) in Intel MKL 11.0 (Beta)
This article serves as a central repository for information on the new reproducibility features of Intel MKL Type: Tips and Techniques,Technical Notes,Landing & Links |
intel mkl mkl 11.0 cbwr MKL CBWR conditional bitwise reproducibility |
05/07/2012
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A simple example to measure the performance of an Intel® MKL function
The time required by the first MKL call should be ignored for the perfromance measurements. The first MKL call has overhead due to buffer allocation and thread initialization. Ignoring the first MKL call gives more consistent times for small problems. Type: Technical Notes,Sample Code |
MKL intel mkl GEMM BLAS matrix multiplication small matrix Intel MKL Performance |
04/27/2012
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Webinar: Getting Reproducible Results with Intel® MKL 11.0 beta
A technical talk on the Condition Bitwise Reproducibility (CBWR) feature in Intel® MKL 11.0 beta Type: Tips and Techniques,Technical Notes |
intel mkl cbwr MKL CBWR |
04/18/2012
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Haswell Support in Intel MKL
Intel MKL functions are optimized for Haswell instructions set |
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04/18/2012
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Introduction to the New Functions Providing Bitwise Reproducibility
Intel MKL 11.0 will introduce new functions which will increase those cases where bitwise reproducible results can be achieved and with as little sacrifice in performance as possible. Type: Tips and Techniques,Performance and Optimization,Sample Code |
mkl 11.0 MKL CBWR MKL reproduciable results MKL Conditional Bitwise Reproducibility cbwr |
04/17/2012
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How to use Data Fitting functions in Intel® Math Kernel Library with PGI* Fortran 95 Compiler on 32 bit Windows* OS
Data Fitting (DF) component of Intel® Math Kernel library (Intel® MKL) is SW solution for spline construction.This paper describes how you can build Intel® MKL DF call-back based applications by means of PGI* Fortran 95 compiler. |
Intel® MKL PGI* Fortran 95 Compiler on 32 bit Windows* OS Intel® MKL Data Fitting routines |
04/14/2012
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Intel® MKL 11.0 beta Getting Started
For general advice on beginning use of Intel MKL visit the getting started guide for Intel MKL 10.3
For information on features in the new version see the article on Intel MKL 11.0 beta
... Type: Technical Notes |
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04/13/2012
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Intel® MKL 11.0 beta System Requirements
Please see the following links available online for the latest information regarding the Intel® Math Kernel Library (Intel® MKL):
Intel® MKL Main Product Page
Intel® MKL 11.0 beta Release Notes
... Type: Technical Notes |
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04/13/2012
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Intel® MKL 11.0 beta Install Guide
Installation instructions for the Intel® Math Kernel Library Type: Technical Notes |
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04/13/2012
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Intel® MKL 11.0 beta Bug Fixes
This article contains the list of Intel MKL issues fixed in version 11.0 and updates Type: Technical Notes |
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04/13/2012
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Intel Math Kernel Library 11.0 beta
This document contains details about the Intel® Math Kernel Library 11.0 Beta new features. Type: Technical Notes |
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04/09/2012
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Intel® Math Kernel Library 11.0 Beta
This document contains details about the Intel® Math Kernel Library 11.0 (Intel® MKL 11.0) Beta new features and registration for the same. Type: Landing & Links |
mkl 11.0 MKL CBWR MKL reproduciable results MKL Conditional Bitwise Reproducibility mkl 11 |
04/09/2012
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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 |
pardiso Intel(R) MKL PARDISO* 4.0 Intel® Math Kernel Library 10.3 |
04/06/2012
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Real to Complex transforms for large prime sizes (64 bit vector lengths)
Intel® MKL has removed the last limitation on the size of 1D Fast Fourier Transforms ( FFT ) in Intel MKL 11.0 beta for SMP systems. Type: Technical Notes |
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04/02/2012
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Numpy/Scipy with Intel® MKL
This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL). Type: Performance and Optimization,Technical Notes |
numpy and mkl numpy with mkl mkl numpy numpy mkl scipy mkl scipy with mkl scipy and mkl numpy/scipy mkl |
03/26/2012
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Intel® Math Kernel Library Link Line Advisor
A tool for finding the right Intel® Math Kernel Library (Intel® MKL) file for you to link with your application. Type: Tips and Techniques,Landing & Links |
link error intel mkl linking |
03/23/2012
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Intel(R) MKL and C++ template libraries
There are a few existing open source C++ template libraries that can be linked with Intel(R) 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. Type: Performance and Optimization,Technical Notes |
Intel(R) MKL open source apps C++ template libraries Eigen Armadillo MTL4 BOOST uBLAS Trilinos |
03/19/2012
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LAPACK: working with permutations of matrices
This article shows how to apply the permutation stored in array of indexes to a matrix. And also how to reconstruct the full permutation matrix.
Type: Tips and Techniques,Sample Code |
lapack LASWP IPIV Pivoting DLASWP SLASWP pivot permutation laset dlaset slaset vectors interchange zlaset zlaswp |
03/07/2012
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NumPy User Note
This guide is intended to help current NumPy users to take advantage of Intel® Math Kernel Library (Intel® MKL). Type: Compatibility,Technical Notes |
MKL numpy numpy and mkl numpy with mkl mkl numpy numpy mkl |
02/19/2012
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Memory Leak when Using Intel® MKL
The article show several memory leak issues when using Intel MKL and gives some solutions. Type: Known Issues |
memory leak mkl crash Invalid read of size |
02/15/2012
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System requirements change in Intel MKL
In the future release of Intel® MKL, some of the Operating Systems and Compiler support will be dropped in Intel® MKL 11.0 Type: Installation,Technical Notes |
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02/06/2012
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Quick Link Intel® MKL In Xcode* IDE: A Fortran Sample
Quick link Intel Math Kernel Library against your application under XCode Integrated Development Environment. A fortran sample is provided.
Type: Technical Notes,Sample Code |
Xcode Xcode IDE fortran compiler for mac MKL for Mac dyld: Library not loaded: libmkl_x.dylib Intel Fortran Compiler Fortran sample mkl sample |
02/06/2012
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PGI* Fortran 77 will not be supported
PGI F77 Type: Compatibility,Technical Notes |
Intel(R) MKL Fortran 77 Interafaces |
02/06/2012
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