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MKL: Difference between revisions
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# example how to build a fortran interface of the intel MKL | # example how to build a fortran interface of the intel MKL | ||
# set up your environment | # set up your environment | ||
module load numlib/intel # set up MKL environment | |||
module load compiler/intel | module load compiler/intel | ||
module load mpi/impi # MPI needed by some fftw interfaces | module load mpi/impi # MPI needed by some fftw interfaces |
Revision as of 13:13, 3 August 2009
Fortran 95 Interfaces and Wrappers for LAPACK, BLAS, etc.
The MKL fortran interfaces must be build seperately because different compiler return complex values differently. Due to the large number of combinations occuring from this the user has to do this on his own.
# example how to build a fortran interface of the intel MKL # set up your environment module load numlib/intel # set up MKL environment module load compiler/intel module load mpi/impi # MPI needed by some fftw interfaces # switch into the directory of the needed interface cd $MKLROOT/interfaces/<interfacename> # display build options like compiler and mpi library make # install the library into $HOME/lib # By default, for interfaces without MPI the ifort compiler is used. # You can change it by an additional parameter FC=<compiler>. make INSTALLDIR=$HOME/lib libem64t [OPTIONS]
Example
Example program example_blas.f90:
program example_blas implicit none real, dimension(3) :: a = (/2.,1.,-1./), b = (/5., -2., 1.5/) real :: c, sdot real(kind=8) :: d, dnrm2 ! *** skalar product *** ! sdot: s ... REAL, dot ... skalar product ! 1. Argument ... dimensions of the vectors ! 2. und 4. A. ... the vectors ! 3. und 5. A. ... increment (here 1) c = sdot(3, a, 1, b, 1) write(*,*) c ! Result: 6.500000 ! *** norm of the vectors *** ! dnrm2: d ... DOUBLE PRECISION, nrm2 ... (euklidian) norm ! 1. Argument: dimensions of the vectors ! 2. A.: vektor ! 3. A.: increment (here 1) d = dnrm2(3, dble(a), 1) write(*,*) d ! Result: 2.44948974278318 end program example_blas
Compile with
ifort example_blas.f90 -L$HOME/lib -lmkl_blas95 $MKLPATH/libmkl_intel_lp64.a -Wl, --start-group $MKLPATH/libmkl_intel_thread.a $MKLPATH/libmkl_core.a -Wl,--end-group -L$MKLPATH -liomp5 -o example_blas