Using the Intel® MPI Library on a Heterogeneous Network
A guide for using the Intel® MPI Library on a network of heterogeneous systems. Type: Tips and Techniques |
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05/25/2012
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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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Beginning Hybrid MPI/OpenMP Development
A guide for getting started combining MPI and OpenMP in one program. Code samples are included. Type: Tips and Techniques,Sample Code |
OpenMP MPI hybrid programming |
05/02/2012
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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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Intel® Math Kernel Library (Intel® MKL) : What's deprecated?
This Article contains various functionalities deprecated in different versions of Intel® MKL. Type: Compatibility,Technical Notes |
deprecated features MKL 10.3 deprecated feature in MKL |
12/15/2011
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Intel® Cluster Studio 2012 Tutorial
A quick introduction to the Intel Cluster Toolkit and how to install and use each component.
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11/08/2011
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Intel Cluster Studio XE and Intel Cluster Studio for Windows Support
An index page containing support resources for the Intel(R) Cluster Studio XE for Windows and the Intel(R) Cluster Studio for Windows. |
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11/08/2011
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Configuring Intel® MKLin Microsoft* Visual Studio*
Intel MKL in Microsoft Visual Studio |
Intel MKL with visual studio Uisng Intel MKL in Microsoft Visual Studio |
11/08/2011
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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,Technical Notes |
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11/02/2011
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Using Intel® MKL in GROMACS
This application note will explains how to use Intel MKL with GROMACS Type: Technical Notes |
Intel MKL with GROMACS GROMACS |
05/22/2011
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Creating, Configuring, and Running Intel® Visual FORTRAN projects in Microsoft* Visual Studio* to build Intel® MKL application
This article will describe about Creating, Configuring, and Running Intel® Visual FORTRAN projects in Microsoft* Visual Studio* to build Intel® MKL application Type: Technical Notes |
intel mkl intel mkl visual fortran configuring visual fortran for mkl projects |
03/22/2011
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Use of Intel® MKL in HPCC benchmark
This guide is intended to help current HPCC users get better benchmark performance by utilizing Intel® Math Kernel Library (Intel® MKL). Type: Technical Notes |
HPCC hpcc mkl |
03/17/2011
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HPL application note
This guide is intended to help current HPL users get better benchmark performance by utilizing BLAS from the Intel® Math Kernel Library (Intel® MKL). Type: Technical Notes |
Linpack HPL MKL in HPL MKL and HPL HPL with MKL |
03/17/2011
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True DSS and PARDISO overloaded F90 interfaces are available in Intel®MKL 10.3.1 and 10.2.7.
Renewed F90 interfaces for DSS and PARDISO are available in Intel® MKL 10.3.1 and 10.2.7 Type: Tips and Techniques,Technical Notes |
DSS Intel® MKL 10.3.1 Intel®10.2.7. |
03/13/2011
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Distributed memory coarray programs with process pinning
This article describes a method to compile and run a distributed memory coarray program using Intel® Fortran Compiler XE 12.0. An example using Linux* is presented. Type: Tips and Techniques,Performance and Optimization |
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03/08/2011
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*TRMV bug for large problems in threaded operation
The BLAS level 2 functions which perform the product of a triangular matrix and a vector provides incorrect results when run in threaded mode on matrices with dimension 3000 or larger and on processors with the Nehalem microarchitecture and later Type: Known Issues,Software Defects |
intel mkl DTRMV intel mkl bugs |
02/23/2011
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Using Intel® MKL in GNU Octave
This application note will describe how to use Intel MKL with Octave. |
Octave with MKL |
12/20/2010
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Overview of Summary Statistics (SS) in Intel® MKL V10.3
Introduction : The data volumes which researchers and engineers analyze nowadays in their daily tasks are huge and continue to increase. The size of datasets which are generated each day for solution ... |
summary statistics mkl ssl |
12/17/2010
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How to prevent source code full path location information from being visible in an executable
source file path information in executable files Type: Known Issues,Software Defects,Technical Notes |
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12/17/2010
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What's new in Intel® MKL?
The new features of the Intel® MKL versions are listed in this article. |
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11/09/2010
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New fast basic random number generator SFMT19937 in Intel MKL
New BRNG SFMT19937 in Intel MKL Type: Performance and Optimization,Technical Notes |
VSL SFMT19937 MT19937 BRNG |
11/08/2010
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C interface Support for LAPACK
Intel® MKL 10.3 extends MKL C support, add C interface for LAPACK. Type: Tips and Techniques,Compatibility |
lapack fortran 77 fortran array reads c interface CLAPACK |
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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Problem with Intel(R) MKL DSS Single Precision version
The F90 DSS interface is broken because of currently DSS API supports double precision data types only.
Type: Errors and Diagnostics,Software Defects,Technical Notes |
MKL F90 Single Precision |
10/12/2010
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Dynamic MKL OOC PARDISO cannot solve large problem on Win64 bit OS.
Reference Number : DPD200193362Version : 10.2 Update 6, 10.3 beta 2Product : Intel(R) Math Kernel LibaryOperating System : Windows, 64 bitsProblem Description :
During solution of pretty big tasks ... Type: Known Issues,Errors and Diagnostics,Software Defects |
pardiso Intel MKL(R) Dynamic linking PARDISO OOC |
10/05/2010
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