*The must be specified as "ia32" or "intel64" Make sure following path has been added into Include Directories:Ĭ:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.*.***\windows\mkl\includeĬ:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.*.***\windows\mkl\include \Īlso notice the Include path of Intel C++ Compiler should be added as well like following:Ĭ:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.*.***\windows\compiler\includeĬ:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.*.****\windows\compiler\include\
) provided by Intel® C++ Compiler for Windows and Intel Parallel Composer Libraries (libm.lib, libmmt.lib, libmmd.lib, libiomp5mt.lib, libiomp5md.lib, libirc.lib, libircmt.lib, svml_disp.lib, svml_dispmd.lib. Learn more information about linking MKL library, please see following documents: * If user link with dynamic library, the execute file of your project should be required with dll files that you have to make sure the MKL has been installed in your running environment. Multi-threaded DLL (/MD):linking with dynamic oneMKL libraries Multi-threaded (/MT): linking with static oneMKL libraries
Step 3 (Optional): For linking with static/ dynamic library, please right click your solution and select Properties » Configuration properties » C/C++ » Code Generation, set the runtime library value from following list: * Learn more about using OpenMP and Intel® TBB for parallel operation, please refer document of Using oneMKL with Threaded Applications For using Intel MPI with oneMKL, please view Using oneMKL MPI wrapper with the oneMKL cluster functions. Cluster: To link with oneMKL cluster components (sequential) that use Intel® MPI. Sequential: To link with sequential version of oneMKL Parallel: To link with a certain oneMKL threading layer depending on the threading option of OpenMP or Intel® TBB The detailed information of each option is shown below: Step 2: Change the Use MKL property setting by selecting Parallel, Sequential, or Cluster as appropriate, and apply this change to your project. Step 1: Right click solution, select Properties » Configuration properties » Intel Performance Libraries » Use oneMKL Figure 1 shows the screenshot of this step. Use oneMKL in Microsoft* Visual Studio 2017/2015/2012/2010 - Automatically In this section, using oneMKL with MSVS 2017 will be discussed as an example, for Microsoft* Visual Studio 2010 and MSVS 2012, please follow the same guide. User could use oneMKL wit your projects in MSVS Integrated Development Environment (IDE) by one step.
While user fully install the Intel® Parallel Studio or select oneMKL manually to install, the math kernel library will be integrated into MSVS automatically. OneMath Kernel Library could be installed as sub-component of Intel® oneAPI Base & HPC Toolkit integrated into the Microsoft* Visual Studio* (MSVS). The following provides hints for linking your program with oneMKL from the Microsoft* Visual Studio Environment: