Demonstrate sparse matrix-vector multiplication with Intel MKL.

Make sure you have the Intel oneAPI HPC Toolkit or Intel Fortran Essentials.

Get the external dependencies.

# Get externals 
git submodule update --init 

Then, you can configure the project.

./config/intel_ubuntu

Alternatively, if on a system where you need to specify a different MKL library and MKL include path, you can do this with the flags -DMKLLIB and -DMKLINCLUDE during configuration. The below bash script does the necessary configuration, as an example, for DKRZ's Levante.

./config/intel_levante

Lastly, you build the project and execute an example binary.

cmake --build build
./build/test/test_spblas

• Test file based on gist.
• Cmake linking based on link line advisor
• Installing intel fortran compiler
• Installing mkl
• Set environment vars
• I did INCLUDE mkl_spblas.f90 above the PROGRAM statement and the use mkl_spblas in the program block since i mimicked the direct sparse solver example for f90 on pg. 1941 of the mkl manual
• Directory structure from fpm even though using cmake
• fftpack uses cmake for dependencies instead of git submodule and fetch content