Intel MKL Threaded Functions
threaded function included in Intel MKL Author: Chao Y (Intel) Type: Technical Notes |
11/24/2009
|
error LNK2019: unresolved external symbol dfti_commit_descriptor_external referenced in function MAIN__
When linking application against PDE Poisson solver or DFTI solver you may obtain error messages like this: error LNK2019: unresolved external symbol dfti_commit_descriptor_external referenced in function MAIN__
error #7002: Error opening the module Author: Gennady Fedorov (Intel),Artem Vorobiev (Intel) Type: Technical Notes |
11/21/2009
|
Pardiso OOC supports the extended set of matrices which can be solved on IA32
The problem: recently we received multiple inputs from our customers that 32bit Pardiso Out-of-Core (OOC) solver crashes when solving a big task Author: Sergey Solovev (Intel),Gennady Fedorov (Intel) Type: Technical Notes |
11/08/2009
|
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 11.0.083 / 11.1.059, and Intel Math Kernel Library (MKL) with FFTW 3.x support Author: Hao Jiang (Intel) Type: Technical Notes |
11/03/2009
|
FFT interfaces in Intel® MKL
Helps in deciding which FFT interface to Intel MKL should be used Author: Dmitry Baksheev (Intel) Type: Technical Notes |
10/26/2009
|
How to Link to the Intel MKL Sparse Solvers
This page lists the computational libraries to link to when calling Intel MKL sparse solver routines (DSS, PARDISO) from applications running on 32-bit and Intel(R) 64 processors. Author: AmandaS (Intel),Gennady Fedorov (Intel) Type: Technical Notes |
10/26/2009
|
mkl_solver* libraries are deprecated libraries since version 10.2 Update 2
Since the version 10.2 Upadate 2 of Intel(R) MKL,solver ( e.g: mkl_solver.lib and mkl_solver_sequential.lib for IA32 ) libraries are empty (for backward compatibility).
Author: Gennady Fedorov (Intel) Type: Technical Notes |
10/04/2009
|
Using Intel® MKL with NAG* library
Introduction
NAG ports a range of its software to both Intel®/Windows* and Intel®/Linux* platforms. NAG and Intel have been working closely together since the introduction of the Pentium chip, produci ... Type: Technical Notes |
09/30/2009
|
Intel MKL and Intel IPP: Choosing a High Performance FFT
The purpose of this document is to help developers determine which FFT, Intel MKL or Intel IPP, is best for their application. Author: AmandaS (Intel) Type: Technical Notes |
09/22/2009
|
New in Intel® MKL 10.2
A list of performance improvements, new features, interface improvements in Intel® MKL 10.2 and its updates Author: Todd Rosenquist (Intel) Type: Technical Notes |
06/23/2009
|
Single precision real and complex data support in PARDISO
Single precision real and complex data support in PARDISO now available in Intel® MKL Author: Gennady Fedorov (Intel) Type: Technical Notes |
06/23/2009
|
PARDISO use half the memory now
Reduced memory use by PARDISO for both in-core and out-of-core on all symmetric matrix types Author: Gennady Fedorov (Intel) Type: Technical Notes |
06/23/2009
|
BLAS and LAPACK fortran95 mod files
Starting version 10.2, Intel® Math Kernel Library contains the precompiled Fortran 95 interface libraries for BLAS and LAPACK for Intel® Fortran compiler as well as the corresponding precompiled interface modules for BLAS95 and LAPACK95. Author: Gennady Fedorov (Intel) Type: Technical Notes |
06/23/2009
|
Intel® MKL Core Libraries Now Contain FFTW3 Interfaces
The Intel MKL 10.2 and later FFTW3 interface is integrated directly into the core libraries. Author: AmandaS (Intel) Type: Technical Notes |
06/23/2009
|
{SC,DZ}GEMM function
Mixed real and complex precision matrix-matrix multiply available from Intel® MKL 10.2 onwards Author: Hsin-ying Lin (Intel) Type: Technical Notes |
06/22/2009
|
Intel® MKL LAPACK 3.2
Intel® MKL 10.2 introduces compatibility with LAPACK 3.2 Author: Todd Rosenquist (Intel) Type: Technical Notes |
06/22/2009
|
Sparse matrix format conversion routines
Sparse matrix format conversion routines available in Intel® MKL Author: Gennady Fedorov (Intel) Type: Technical Notes |
05/18/2009
|
Using Intel MKL BLAS and LAPACK with PETSc
This document contains instructions for linking to Intel MKL BLAS and LAPACK functions when building the PETSc libraries. Author: AmandaS (Intel) Type: Technical Notes |
05/05/2009
|
Using Intel® MKL with IMSL* Fortran numerical library
How to use MKL with IMSL* Author: Chao Y (Intel) Type: Technical Notes |
03/19/2009
|
Using Intel MKL with MATLAB
This page describes how to use Intel® MKL for Windows* with MATLAB*. Author: AmandaS (Intel) Type: Technical Notes |
02/03/2009
|
Using Intel® MKL in MATLAB Executable (MEX) Files
This document describes common error messages and solutions when using Intel® MKL 10.0 with MATLAB R2008a on Windows*. Author: AmandaS (Intel) Type: Technical Notes |
02/03/2009
|
Using Intel® MKL in VASP
This is an application note to help VASP users to use Intel® MKL in VASP to get best performance on Intel platform. Author: Vipin Kumar E K (Intel) Type: Technical Notes |
10/17/2008
|
HPL application note
HPL User Note
Step 1 – Overview
This guide is intended to help current HPL users get better benchmark performance by utilizing BLAS from the Intel® Math Kernel Library (Intel® MKL). HPL (High ... Author: Vipin Kumar E K (Intel) Type: Technical Notes |
10/03/2008
|
Compiling and linking MKL with Xcode*
The documentation provides the information on linking Intel® Math Kernel Library with Apple* Xcode* development environment. Author: Ying H (Intel) Type: Technical Notes |
09/19/2008
|
Compiling and Linking with Microsoft* Visual C/C++*
The following provides hints for linking your program with Intel® MKL from the Microsoft* Visual C/C++* Version 6.0 environment:
Intel® MKL v9.1 with Microsoft* Visual C++* .NET (v7.0)
Select V ... Type: Technical Notes |
09/19/2008
|