Developer Guide for Intel® oneAPI Math Kernel Library for Linux*

Developer Guide

Contents

Using MKL_DIRECT_CALL in Fortran Applications

The following examples of code and link lines show how to activate direct calls to
Intel® oneAPI Math Kernel Library
 kernels in Fortran applications:
  • Include
    mkl_direct_call.fi
    , to be preprocessed by the Fortran compiler preprocessor 
    #     include "mkl_direct_call.fi"
      program   DGEMM_MAIN
....
*      Call Intel MKL DGEMM
....
      call sub1()
      stop 1
      end

*     A subroutine that calls DGEMM 
      subroutine sub1
*      Call Intel MKL DGEMM

      end
  • For multi-threaded
    Intel® oneAPI Math Kernel Library
    , compile with
    -
    fpp
     option for Intel Fortran compiler and with
    MKL_DIRECT_CALL
     preprocessor macro: 
    ifort –DMKL_DIRECT_CALL –fpp your_application.f -Wl,--start-group $(MKLROOT)/lib/intel64/libmkl_intel_lp64.a $(MKLROOT)/lib/intel64/libmkl_core.a $(MKLROOT)/lib/intel64/libmkl_intel_thread.a -Wl,--end-group -lpthread –lm -openmp -I$(MKLROOT)/include
  • To use
    Intel® oneAPI Math Kernel Library
     in the sequential mode, compile with
    -
    fpp
     option for Intel Fortran compiler (or with
    -Mpreprocess
     for PGI compilers) and with
    MKL_DIRECT_CALL_SEQ
     preprocessor macro: 
    ifort –DMKL_DIRECT_CALL_SEQ –fpp your_application.f -Wl,--start-group $(MKLROOT)/lib/intel64/libmkl_intel_lp64.a $(MKLROOT)/lib/intel64/libmkl_core.a $(MKLROOT)/lib/intel64/libmkl_sequential.a -Wl,--end-group -lpthread –lm -I$(MKLROOT)/include
Product and Performance Information
Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.
Notice revision #20201201

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.