![]() ![]() The only difference should be in the timestamps. To test linking LAPACK via MKL with the GNU compiler, compile the example code above, run it and save the results, then diff the resulting output with the original example output. To link to MKL when compiling, for multithreaded code, use the openmp flag -fopenmp and the linker flags -lmkl_gf_lp64 -lmkl_core -lmkl_gnu_thread. ![]() To link to MKL when compiling, for serial code, use the linker flags -lmkl_gf_lp64 -lmkl_core -lmkl_sequential. To put the MKL libraries in the path for GNU, use lapack_intel > diff results_lapack_intel.txt lapack_examples_test.txt (Note that normally code should never be run on a login node this small test is an cp -r /usr/local/apps/examples/code/lapack cd module module load ifort -o lapack_intel lapack_examples_test.f. To test linking LAPACK via MKL with the Intel compiler, compile the example code above, run it and save the results, then diff the resulting output with the original example output. To link to MKL when compiling for multithreaded code, use -mkl. To link to MKL when compiling for serial code, use -mkl=sequential. To put the MKL libraries in the path for Intel, use To avoid copy/paste errors when using, please copy these from the apps directory: This sample code and output will be used in the following examples. The resulting output of the code is here. Here is an example FORTRAN code that tests the LAPACK libraries, written by John Burkardt and originally hosted at FSU. ![]() Before setting OMP_NUM_THREADS, examine any existing software documentation, Henry2 documentation and examples on running MPI-OpenMP hybrid code, and contact HPC staff for a consultation if further guidance is needed. Note that the proper amount of cores must be requested when multithreading is enabled and care should be taken when using multithreaded MKL with an MPI or OpenMP program. To allow for MKL multithreading, set OMP_NUM_THREADS to an appropriate number by setting the environment in a submit script, for example: Intel Math Kernel Library Link Line Advisor A note about multithreaded MKLÄ«y default, OMP_NUM_THREADS is set to 1. Mkl_core.lib(_p4n_xdgemv.obj)././././blas/k:(.The Intel MKL libraries contain a variety of optimized and threaded numerical libraries including BLAS, LAPACK, and ScaLAPACK. Mkl_core.lib(_avx_xdgemv.obj)././././blas/k:(.text+0x10): undefined reference to `_chkstk' However, during linking, I am still getting similar error message: I used gfortran -fopenmp -o mycode *.o mkl_intel_lp64.lib mkl_sequential.lib mkl_core.lib. Gfortran -fopenmp -o mycode *.o mkl_intel_lp64.lib mkl_intel_thread.lib mkl_core.lib libiomp5md.lib There is a typo in the original post about the second option I tried is Can you be more specific? I need the code to be parallel for performance, my whole purpose to turn to MKL libraries. Mkl_core.lib(_mc_dsyrk_pst.obj)././././blas/k:(.text+0x12): more undefined references to `_chkstk' follow Mkl_core.lib(_def_xdsyrk.obj)././././blas/k:(.text+0x12): undefined reference to `_chkstk' Mkl_intel_thread.lib(mkl_threading.obj):(.text+0x12): undefined reference to `_chkstk' drectve `-defaultlib:"uuid.lib" ' unrecognized But during execution, the executable crashes and reports Program received signal SIGSEGV: Segmentation fault - invalid memory reference. Gfortran -fopenmp -o mycode *.o mkl_rt.lib libiomp5md.lib The Fortran code is paralleled using OpenMP. I am writing to ask help for linking mkl with a fortran code on a Surface Pro with win 8.1 OS. I am using gfortran 4.9.2 (TDM-GCC-65). ![]()
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