Development/FFTW: Difference between revisions
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= Hints for compiling and linking = |
= Hints for compiling and linking = |
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== FFTW Interface to Intel Math Kernel Library (MKL) == |
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Sometimes, [[FFTW|FFTW]] is not available on your cluster. You can use the MKL library |
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instead and include the FFTW functions, too. |
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Intel Math Kernel Library (MKL) offers FFTW2 and FFTW3 interfaces to Intel MKL Fast Fourier Transform and Trigonometric Transform functionality. The purpose of these interfaces is to enable applications using FFTW to gain performance with Intel MKL without changing the program source code. |
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To include the proper header files use the compiler option |
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-I${MKL_INC_DIR}/fftw |
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If you want to link dynamically against the fftw functions you can just use the flag |
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-mkl |
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but when using static linking you have to link against the correct library in the directory |
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${MKL_HOME}/interfaces/ |
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If any assistance, please feel free to contact 'compchem [at] bwhpc.de' or submit a trouble ticket at https://www.bwhpc.de/supportportal. |
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= Examples = |
= Examples = |
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Revision as of 19:16, 18 May 2021
| Description | Content |
|---|---|
| module load | numlib/mkl |
| Availability | bwUniCluster_2.0 | BwForCluster_JUSTUS_2 |
| License | Commercial. See EULA. |
| Citing | n/a |
| Links | Intel MKL Homepage | FFTW Homepage |
| Graphical Interface | No |
Description
The Fastest Fourier Transform in the West (FFTW) is a software library for computing discrete Fourier transforms in one or more dimensions, of arbitrary input size, and of both real and complex data (as well as of even/odd data, i.e. the discrete cosine/sine transforms or DCT/DST). FFTW was developed by Matteo Frigo and Steven G. Johnson at the Massachusetts Institute of Technology.
The Intel Math Kernel Library (Intel MKL) offers FFTW2 (for version 2.x) and FFTW3 (for version 3.x) interfaces to the Intel MKL Fast Fourier Transform and Trigonometric Transform functionality. These interfaces enable applications using FFTW to gain performance with Intel MKL without changing the application source code. Therefore, it is highly recommended to use Intel MKL instead of a separate FFTW installation.
Availability
Intel MKL is available on selected bwHPC-Clusters. A complete list of versions currently installed on the bwHPC-Clusters can be obtained from the Cluster Information System (CIS).
In order to check which versions of Intel MKL are installed on the compute cluster, run the following command:
$ module avail numlib/mkl
Documentation
A documentation for Intel MKL is available online.
The help page of the Intel MKL module provides more version specific information:
$ module help numlib/mkl
----------- Module Specific Help for 'numlib/mkl/11.1.4' ----------
This module provides the Intel(R) Math Kernel Library (MKL)
version 11.1.4, a fast and reliable implementation
of BLAS/LAPACK/FFTW (see also 'http://software.intel.com/en-us/intel-mkl/').
The preferable compiler for this MKL version is 'compiler/intel/14.0'. Linking
with other compilers like GNU, PGI and SUN is possible. The desired compiler
module (exception system GNU compiler) has to be loaded before using MKL.
Local documentation:
Man pages in '$MKL_MAN_DIR/man3', e.g. 'man dotc'.
firefox $MKL_DOC_DIR/mkl_documentation.htm
acroread $MKL_DOC_DIR/l_mkl_11.1.4.211.mklman.pdf
acroread $MKL_DOC_DIR/l_mkl_11.1.4.211.mkl_11.1.4_lnx_userguide.pdf
[...]
Static FFTW2/3 C/Fortran interfaces can be found in dir
${MKL_HOME}/interfaces/
Examples:
Link to FFTW3 Fortran interface with GNU compiler and ilp64 support:
${MKL_HOME}/interfaces/fftw3xf/libfftw3xf_intel64_double_i8_gnu47.a
Link to FFTW3 Fortran interface with Intel compiler and lp64 support:
${MKL_HOME}/interfaces/fftw3xf/libfftw3xf_intel64_double_i4_intel150.a
The Intel FFTW interfaces requires the Intel MKL library (e.g. it does
not work with ACML library). Usually it is not a problem to use a
different compiler version, e.g. to use _gnu41.a with gnu 4.3 compiler.
See dir ${MKL_HOME}/interfaces/ for other interfaces (fftw2/3 Fortran/C).
Compiler option for include files: -I${MKL_INC_DIR}/fftw
[...]
After loading the module, the environment variable $MKL_DOC_DIR points to the local documentation folder.
Usage
Loading the module
You can load the default version of Intel MKL with the following command:
$ module load numlib/mkl
The module will try to load all modules it needs to function (e.g., compiler, mpi, ...). If loading the module fails, check if you have already loaded one of those modules, but not in the version required by MKL.
If you wish to load another (older) version of Intel MKL, you can do so using
$ module load numlib/mkl/<version>
with <version> specifying the desired version.
Hints for compiling and linking
FFTW Interface to Intel Math Kernel Library (MKL)
Sometimes, FFTW is not available on your cluster. You can use the MKL library instead and include the FFTW functions, too.
Intel Math Kernel Library (MKL) offers FFTW2 and FFTW3 interfaces to Intel MKL Fast Fourier Transform and Trigonometric Transform functionality. The purpose of these interfaces is to enable applications using FFTW to gain performance with Intel MKL without changing the program source code. To include the proper header files use the compiler option
-I${MKL_INC_DIR}/fftw
If you want to link dynamically against the fftw functions you can just use the flag
-mkl
but when using static linking you have to link against the correct library in the directory
${MKL_HOME}/interfaces/
If any assistance, please feel free to contact 'compchem [at] bwhpc.de' or submit a trouble ticket at https://www.bwhpc.de/supportportal.
Examples
Various examples can be found in $MKLROOT/examples.