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: Performance and Optimization |
mkl 11.0 MKL CBWR MKL reproduciable results MKL Conditional Bitwise Reproducibility cbwr |
04/17/2012
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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 |
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(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 |
Intel(R) MKL open source apps C++ template libraries Eigen Armadillo MTL4 BOOST uBLAS Trilinos |
03/19/2012
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Parallelism in the Intel® Math Kernel Library
The Intel® Math Kernel Library (Intel® MKL) contains a large collection of functions that can benefit math-intensive applications. Type: Performance and Optimization |
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11/02/2011
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Intel® Math Kernel Library – LINPACK Download
Intel® Math Kernel Library – LINPACK Download Type: Performance and Optimization |
intel math kernel library MKL Linpack HPL MKL in HPL HPL with MKL High Performance Linpack |
10/25/2011
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Build CP2K using Intel Fortran compiler Professional Edition
This article show how to build CP2K for Intel64 platform, using Intel® Fortran Compiler Professional Edition version 11.0 / 11.1 or Intel® Fortran Composer XE 2011, and Intel® Math Kernel Library (MKL) with FFTW 3.x support Type: Performance and Optimization |
MKL fftw CP2K intel fortran composer XE 2011 ifort 11.0 11.1 12.0 12.1 |
09/19/2011
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New in Intel® MKL 10.2
A list of performance improvements, new features, interface improvements and changes made in Intel® MKL 10.2 and its updates Type: Performance and Optimization |
performance new features |
12/13/2010
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VML routines show noticeable decrease in performance in case of multi-threading.
Reference Number : DPD200198891Version :
Intel(R) MKL v.10.3Product :
Intel® Math Kernel Library (Intel® MKL)Operating System :
Windows, Linux and MAC OS* XProblem Description :
VML functio ... Type: Performance and Optimization |
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11/23/2010
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Questions and Answers for the Intel® Math Kernel Library Webinar on November 11, 2010
Questions and answers from the Intel MKL webinars on Nov 11, 2010 Type: Performance and Optimization |
intel mkl Intel MKL webinar |
11/15/2010
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New fast basic random number generator SFMT19937 in Intel MKL
New BRNG SFMT19937 in Intel MKL Type: Performance and Optimization |
VSL SFMT19937 MT19937 BRNG |
11/08/2010
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Denormal paths speedup in VML by setting FTZ/DAZ setting
Intel® MKL VML accuracy setting mode variable is extended with a new setting from Intel MKL 10.3 onwards. Users can turn ON or OFF this setting by using VML_FTZDAZ_ON / VML_FTZDAZ_OFF (default) in VML functions.
Type: Performance and Optimization |
FTZ/DAZ setting Denormal paths speedup |
11/08/2010
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Intel® AVX optimization in Intel® MKL
Starting from Intel MKL 10.3, AVX code will be dispatched as one of the platforms in MKL and does not require special activation as in MKL 10.2. Type: Performance and Optimization |
AVX optimizations in MKL |
11/08/2010
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Information about the FTC Decision and Order on the Intel® Compilers Reimbursement Fund
Info on where to go for the FTC Compiler Reimbursement Fund. Type: Performance and Optimization |
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11/02/2010
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MKL performance degradation on SGI ALtix UV system with Nehalem EX processor
MKL performance degradation on SGI ALtix UV system with Nechalem-EX processor Type: Performance and Optimization |
Intel(R) MKL SGI Altix |
10/25/2010
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Intel® Math Kernel Library 10.3 Beta
Intel® MKL 10.3 beta has been launched. We want you to use, and comment on, all of the functionality but your feedback on these areas is highly valuable and welcome. Type: Performance and Optimization |
AVX optimizations in MKL Beta MKL 10.3 beta SFMT19937 C interfac to LAPACK |
10/21/2010
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Intel® AVX optimization in Intel® MKL V10.3 Beta
Starting from Intel MKL 10.3 Beta, AVX code will be dispatched as one of the platforms in MKL and does not require special activation as in MKL 10.2. Type: Performance and Optimization |
MKL and AVX AVX optimizations in MKL |
06/08/2010
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Different parallelization techniques and Intel® MKL FFT
This article is to describe various techniques for threading which can be used by the user and how to set the right values for environment variables or DFTI parameters. Type: Performance and Optimization |
MKL FFT threading in FFT |
02/24/2010
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Performance slow down when dynamically linking with Intel MKL
Performance slows down with dynamic linkage Type: Performance and Optimization |
dynamic linkage mkl performance performance change |
11/24/2009
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Intel MKL Threaded Functions
Threaded functions included in Intel MKL Type: Performance and Optimization |
threading MKL threading MKL threaded functions functions threaded in MKL threaded function in MKL |
11/24/2009
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Running The HPL Benchmark Over Intel MPI
This is a step by step procedure on how to run the High Performance Linpack (HPL) benchmark on a Linux cluster using Intel-MPI. This was done on a Linux cluster of 128 nodes running Intel’s Nehalem processor 2.93 MHz with 12GB of RAM on each node. Type: Performance and Optimization |
High Performance Linpack HPL Nehalem MKL Intel MPI Compiler GFLOPS Mohamad Sindi |
09/28/2009
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Intel® Software Tools give SAS* 9.2 a 2.68x performance boost on Intel® Xeon® processor 5500 series-based servers
Business analytics have become a fundamental asset for leading enterprises, turning mountains of data from diverse sources into actionable information that drives sound business decisions. SAS is a glo ... Type: Performance and Optimization |
Intel Compiler intel mkl SAS |
08/13/2009
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Enabling Intel® Advanced Vector Extensions (Intel® AVX) optimizations in Intel® MKL
Intel® MKL 10.2 has early support of Intel® AVX and includes special optimizations for several BLAS, DFT and VML functions. Type: Performance and Optimization |
AVX Advanced Vector Extensions MKL and AVX AVX optimizations in MKL |
08/10/2009
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Intel® MKL Threaded 1D FFTs
This document describes the cases for which the Intel MKL 10.2 and later 1D complex-to-complex FFTs are threaded. Type: Performance and Optimization |
FFT Multi-threading multithread fourier transform threading multi-core multicore |
07/17/2009
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Setting thread affinity on SMT or HT enabled systems for better performance
For SMT (Simultaneou Mutli Threading) or HT (Hyper Threading) enabled systems, for. e.g: "Nehalem" based machines to get best MKL performance we recommend you to set thread affinity. Type: Performance and Optimization |
SMT HT ON KMP_AFFINITY Thread Affinity |
06/22/2009
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Intel® MKL LAPACK 3.2
Intel® MKL 10.2 introduces compatibility with LAPACK 3.2 Type: Performance and Optimization |
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06/22/2009
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