- #Link sequential program with multithread mkl update
- #Link sequential program with multithread mkl software
- #Link sequential program with multithread mkl code
The main FFT Computation Functions provided with MKL are DftiComputeForward and DftiComputeForward which compute the forward and backward FFT respectively. Only the MKL version is installed on SHARCNET. The first being from MKL and the other from IPP whose differences are described here. Intel markets two implementations of the FFT.
#Link sequential program with multithread mkl code
Referring to the online document FFTW to Intel® Math Kernel Library Wrappers Technical User Notes its mentions that "FFTW2MKL wrappers are delivered as the source code that must be compiled by the user to build the wrapper library." By popular demand these wrapper have been precompiled for immediate use and located in two directories for each intel module (at present 11.0.083 and 11.1.069) as tree The wrappers can be used for calling the Intel ~ equivilent~ MKL Fourier transform functions instead of FFTW for programs that currently use FFTW without changing the program source code. Using hound and version 11.0.083 of the intel compiler as an example, the wrappers and corresponding fftw wrapper header files are located in the following lsīlas95 fftw2xc fftw2x_cdft fftw2xf fftw3xc fftw3xf lsįftw3.f fftw_f77.i fftw_mpi.h rfftw.h rfftw_threads.hįftw3.h fftw.h fftw_threads.h rfftw_mpi.h Intel MKL provides interface wrappers for the 2.x and 3.x FFTW (superstructure are located in the same directory on all clusters. If you currently use the GMP library, you need to modify INCLUDE statements in your programs to mkl_gmp.h. N = N printf ( " \n" ) for ( i = 0 i link. * the dot product of two double-precision complex vectors.ĭOT_PRODUCT = SUM MKL_Complex16 defined in "mkl.h" */ * file name = main_zdotc.c */ /* The following example illustrates a call from a C program to the
Print *, " " return end Fortran ZDOTC example NoTrans = 'N' call dgemm (NoTrans,NoTrans,HEIGHT,WIDTH, 1,ALPHA, & & ColumnVector,HEIGHT,RowVector, 1,BETA, Result,HEIGHT ) call PrintMatrix ( Result, HEIGHT, WIDTH ) stop end subroutine PrintMatrix (pMatrix,nRows,nCols ) implicit none integer :: i, j, nRows, nColsĭouble precision :: pMatrix (nRows,nCols ) do i = 1,nRows
! This function calculates: C = ALPHA*A*B + BETA*C Implicit none integer, parameter :: HEIGHT = 4 integer, parameter :: WIDTH = 3 integer, parameter :: K = 1 integer :: i, jĭouble precision :: ColumnVector (HEIGHT,K ) double precision :: RowVector (K,WIDTH ) double precision :: Result (HEIGHT,WIDTH ) double precision :: ALPHA, BETAĮnddo call PrintMatrix (ColumnVector, HEIGHT,K ) call PrintMatrix (RowVector, K, WIDTH ) ! To do the calculation, we will use the BLAS function dgemm. ! file name = test_dgemm.f90 program mainp1 Use following command to compile file test_dgemm.f90: We are assuming that the following modules are currently loaded: mkl/10.3.9 intel/12.1.3 See the next section which illustrates this procedure. Jobs requiring MKL should have a flag in the compiling command indicating the required libraries. More details about module usage can be found here: You can still load them separately (for use with different compiler) by loading modules: intel/mkl/15.0.3, intel/mkl/15.0.6, intel/mkl/16.0.3. Later versions of MKL are bundled with the Intel compiler.
Presently the version of MKL 10.3.9 is the default and its module (mkl/10.3.9) is loaded automatically when you login. Support in these major areas of computation: BLAS (level 1, 2, and 3), LAPACK linear algebra routines, Intel MKL provides comprehensive functionality Routines for applications that require maximum performance. MKL (Intel's Math Kernel Library) is a computing math library of highly optimized, extensively threaded
#Link sequential program with multithread mkl software
SHARCNET Package information: see MKL software page in web portal
#Link sequential program with multithread mkl update
The page is scheduled for an update to make it applicable to Graham. Note: Some of the information on this page is for our legacy systems only. 5.2 Using The ILP64 Vs LP64 Variants Of MKL.5.1 COMPILING WITH MKL - USING ONLINE LINK ADVISOR.
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