topic Setting MKL to use with Intel ParallelAccelerator in Intel® oneAPI Math Kernel Library

Setting MKL to use with Intel ParallelAccelerator

Saran — Wed, 12 Jul 2017 09:26:37 GMT

I am programming in Julia and for Parallel computing i am using ParallelAccelerator.jl package. I was able to setup OpenBLAS with g++. Kindly help me out to set up Intel MKL with g++. I have installed Julia using macOS dmg package hence I am unable find Make.inc file. This is article from Intel which explains setting up Julia with Intel MKL I am unable to setup Julia to use MKL instead its currently using OpenBLAS as you can see from the below output.

julia> versioninfo()
Julia Version 0.5.2
Commit f4c6c9d4bb (2017-05-06 16:34 UTC)
Platform Info:
  OS: macOS (x86_64-apple-darwin13.4.0)
  CPU: Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.7.1 (ORCJIT, haswell)

julia> Pkg.build("ParallelAccelerator")
INFO: Building ParallelAccelerator
ParallelAccelerator: build.jl begin.
ParallelAccelerator: Building j2c-array shared library
System installed BLAS found
Checking for OpenMP support...
OpenMP support found in g++-7
Max OpenMP threads: 8
Using g++-7 to build ParallelAccelerator array runtime.
ParallelAccelerator: build.jl done.

This is how i setup openblas

export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/local/opt/openblas/include/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/opt/openblas/lib/

Kindly let me know if there any other way to Setup MKL.

Thank You
Regards
Saran

Please check https://github

Jing_Xu — Thu, 13 Jul 2017 08:06:28 GMT

Please check https://github.com/JuliaLang/julia. You can download the make.inc file there, as well.

Also, please try

export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:$MKLROOT/include/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64/

Quote:Jing X. (Intel) wrote:

Saran — Thu, 13 Jul 2017 10:59:12 GMT

Jing X. (Intel) wrote:

export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:$MKLROOT/include/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64/

Thank you for your response. I have added the path ~/.bash_profile rebuilt ParallelAccelerator.jl but now Julia is unable to detect there is no BLAS found .Hence I had to go back to OpenBLAS
export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:/usr/local/opt/openblas/include/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/opt/openblas/lib/

And you have mentioned Make.inc file. In which folder do I place the file once I download it?

How did you set your

Jing_Xu — Thu, 13 Jul 2017 23:11:22 GMT

How did you set your environment variables? Did you set MKLROOT?

Make.inc is supposed to put into the root folder. Please take the folder structure on Github as a reference.

Quote:Jing X. (Intel) wrote

Saran — Fri, 14 Jul 2017 01:38:18 GMT

Jing X. (Intel) wrote:
How did you set your environment variables? Did you set MKLROOT?

source /opt/intel/mkl/bin/mklvars.sh intel64
echo $MKLROOT
/opt/intel/compilers_and_libraries_2017.4.181/mac/mkl

And in .bash_profile the following has been added
export CPLUS_INCLUDE_PATH=$CPLUS_INCLUDE_PATH:$MKLROOT/include/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$MKLROOT/lib/intel64/

As soon I do this the following is the result

julia> Pkg.build("ParallelAccelerator")
INFO: Building ParallelAccelerator
ParallelAccelerator: build.jl begin.
ParallelAccelerator: Building j2c-array shared library
No BLAS installation detected (optional)
Using g++ to build ParallelAccelerator array runtime.
ParallelAccelerator: build.jl done.

julia> versioninfo()
Julia Version 0.5.2
Commit f4c6c9d4bb (2017-05-06 16:34 UTC)
Platform Info:
  OS: macOS (x86_64-apple-darwin13.4.0)
  CPU: Intel(R) Core(TM) i7-4770HQ CPU @ 2.20GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.7.1 (ORCJIT, haswell)