Development/FFTW
| 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
Loading the Module
Load the fftw module, and, if needed, the corresponding openmpi and compiler module. You can load the default version of 'FFTW with the command 'module load numlib/fftw'.
$ module load numlib/fftw Loading module dependency 'compiler/intel/13.1'.
The module will try to load modules it needs to function (e.g. compiler, mpi, numlibs).
If loading the module fails, check if you have already loaded one of those modules with
the command 'module list'.
If you wish to load a specific (older) version (if available), you can do so using e.g.
'module load numlib/fftw/'version' to load the version you desires.
$ module avail numlib/fftw ------------------------ /opt/bwhpc/common/modulefiles ------------------------- numlib/fftw/3.3.3-impi-4.1.1-gnu-4.4 numlib/fftw/3.3.3-impi-4.1.1-intel-13.1(default) $ $ module load numlib/fftw/3.3.3-impi-4.1.1-gnu-4.4 $ module list Currently Loaded Modulefiles: 1) numlib/fftw/3.3.3-impi-4.1.1-gnu-4.4
Beware! Compiler, MPI-module and numerical library must fit!
Hints for compiling and linking
FFTW Specific Environments
To see a list of all FFTW environments set by the 'module load'-command use the command
'module display numlib/fftw'.
After having loaded the appropriate module(s), you can use several environment variables to compile and link your application.
$ module display numlib/fftw ------------------------------------------------------------------- /opt/bwhpc/common/modulefiles/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1: FTW_VERSION = 3.3.3-impi-4.1.1-intel-13.1 FFTW_HOME = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1 FFTW_BIN_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/bin FFTW_INC_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/include FFTW_LIB_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/lib FFTW_STA_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/lib FFTW_SHA_DIR = (empty) FFTW_MAN_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/share/man FFTW_INF_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/share/info FFTW_DOC_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/doc FFTW_EXA_DIR = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/examples FFTW_WWW = http://www.fftw.org/ PATH = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/bin:$PATH MANPATH = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/share/man:$MANPATH INFOPATH = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/share/info:$INFOPATH LD_LIBRARY_PATH = /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/lib:$LD_LIBRARY_PATH [...]
Compile a Serial Program
$ gcc example.c -o example -I$FFTW_INC_DIR -L$FFTW_LIB_DIR -lfftw3 -lm
with POSIX Threads
Compile program with support for POSIX threads.
$ gcc example.c -o example -I$FFTW_INC_DIR -L$FFTW_LIB_DIR -lfftw3_threads -lfftw3 -lpthread -lm
Compile program with support for OpenMP threads
$ gcc example.c -o example -fopenmp -I$FFTW_INC_DIR -L$FFTW_LIB_DIR -lfftw3_omp -lfftw3 -lm
Compile program with support for MPI
$ mpicc example.c -o example -I$FFTW_INC_DIR -L$FFTW_LIB_DIR -lfftw3_mpi -lfftw3 -lm
Run program with MPI support
$ mpirun -n <ncpu> ./example
(Replace <ncpu> by number of processor cores.)
Replace -lfftw3, -lfftw3_threads, etc. by -lfftw3f, -lfftw3f_threads, etc. for single precision and by -lfftw3l, -lfftw3l_threads etc. for long-double precision codes, respectively.
These commands will compile your program with dynamic fftw library versions in which case you also have to have the fftw module loaded for running the program. Alternatively, you may want to link your program with static fftw library versions. With static fftw libraries it is only necessary to load the fftw module for compiling but not for executing the program.
Compile program with static fftw library versions
Example for POSIX threads support
$ gcc example.c -o example -I$FFTW_INC_DIR $FFTW_LIB_DIR/{libfftw3_threads.a,libfftw3.a} -lpthread -lm
or:
$ gcc example.c -o example -I$FFTW_INC_DIR -L$FFTW_LIB_DIR -Wl,-Bstatic -lfftw3 -lfftw3_threads \
-Wl,-Bdynamic -lpthread -lm
Environment variables $FFTW_INC_DIR, $FFTW_LIB_DIR etc. are available after loading the module.
Examples
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.
Here is an excerpt from 'module help numlib/mkl':
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
See the corresponding webpages:
- FFTW Interface to Intel Math Kernel Library
- FFTW2 Interface to Intel Math Kernel Library
- FFTW3 Interface to Intel Math Kernel Library
Sample Code
Sample code for various test cases is provided in folder pointed to by environment variable $FFTW_EXA_DIR.
$ module list Currently Loaded Modulefiles: 1) compiler/intel/13.1 2) numlib/fftw/3.3.3-impi-4.1.1-intel-13.1(default) $ ls -F $FFTW_EXA_DIR ex_mpi_2d.c ex_serial_1d.c fftw3f-test.c ex_ompthreads_2d.c ex_serial_2d.c fftw3l-test.c ex_pthreads_2d.c ex_serial_3d.c fftw3-test.c $ echo $FFTW_EXA_DIR /opt/bwhpc/common/numlib/fftw/3.3.3-impi-4.1.1-intel-13.1/examples