- Infos im HLRS Wiki sind nicht rechtsverbindlich und ohne Gewähr -
- Information contained in the HLRS Wiki is not legally binding and HLRS is not responsible for any damages that might result from its use -

MKL

From HLRS Platforms
Revision as of 10:52, 16 November 2011 by Hpcekr (talk | contribs)
Jump to navigationJump to search
Intel® Math Kernel Library (MKL) is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS, LAPACK, ScaLAPACK, Sparse Solvers, Fast Fourier Transforms and Vector Math.
Intel-logo.png
Developer: Intel
Platforms: NEC Nehalem Cluster
Category: Numerical Library
License: Commercial
Website: Intel® MKL homepage


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 $HOME/lib # By default, for interfaces without MPI the ifort compiler is used. # You can change it by an additional parameter FC=<compiler>. make INSTALL_DIR=$HOME/lib libem64t [OPTIONS]


Example

Here is a simple example how to compile an application with the Fortran 95 interface and wrappers for BLAS95. You should have build the BLAS95 Interfaces already as described above.

File: 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 this 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

See also

External links