topic You may also look at this KB in Intel® oneAPI Math Kernel Library

How to configure libs when trying to use Inspector-executor Sparse BLAS Routines and Pardiso

wen_qiang_z_ — Sat, 08 Dec 2018 13:39:53 GMT

Here is my environment : Visual Studio Community 2017 + Parallel Studio XE 2019 update 1

I`ve tried Link line advisor but it failed with 'No symbolic file loaded for mkl_avx2.dll'

And the current libs linked in are:

mkl_core.lib

mkl_intel_thread.lib

mkl_intel_ilp64.lib

mkl_blas95_ilp64.lib

impi.lib

Besides, I`ve tried add libomp5md.lib but it didn`t work for the problem.

if you link with ILP API on

Gennady_F_Intel — Sun, 09 Dec 2018 15:57:05 GMT

if you link with ILP API on win OS, then don't forget to add /DMKL_ILP64 option or link LP64 API only, In the case if you are not going to use distributed computations, you don't need to link with mpi libs at all.

You may also look at this KB

Gennady_F_Intel — Sun, 09 Dec 2018 15:59:30 GMT

You may also look at this KB article shows how to use mkl based application from within VS.

Hello！

wen_qiang_z_ — Thu, 13 Dec 2018 11:49:10 GMT

Hello！

I`ve tried what you suggested, bur things did not become better than before.

And I will explain my problems in detail.

At first, if I link mkl_blas95_lp64.lib mkl_core.lib mkl_intel_lp64.lib mkl_intel_thread.lib with /Qmkl:parallel ，when calling some Sparse Blas functions like mkl_sparse_spmm and mkl_sparse_z_add, it tends to lead to some wrong number in the result sparse matrix when trying to call pardiso, and the check routine gives the feedback of something wrong in ja[ ] like ja(i) = 1591 and ja(i+1) is 1423 which should be 1592 .

And if I turn off the 'Use Intel Math Kernel Library', the program will meet some Access Conflict with error code 0xC0000005, which is very 'interesting'

And if I link a third-party`s library named 'Mumps' whose configuration need mkl_scalapack_lp64.lib and mkl_blacs_intelmpi_lp64.lib, The program works even though I don`t run the codes connect with mumps, but it fails with for_dealloc_allocatable function error when I go to the assembly language, in fact, it is the next step after call for_dealloc_allocatable which is 'move'.

I can not paste my source code here for some reason but I do need your help and advises, so can we talk using e-mail or some ways faster than here? I do not know if it is appropriate to do this but I`ve been suffered from this problem for such a long time and I`ve tried all what I can do.

And here is my command line

wen_qiang_z_ — Thu, 13 Dec 2018 11:52:14 GMT

And here is my command line of Fortran

/nologo /debug:full /MP /Od /fpp /I"C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2019.1.144\windows\mkl\include" /Qopenmp /warn:all /module:"x64\Debug\\" /object:"x64\Debug\\" /Fd"x64\Debug\vc150.pdb" /traceback /check:bounds /check:stack /libs:dll /threads /dbglibs /Qmkl:parallel /c

and the command line of Linker

/OUT:"x64\Debug\GEM.exe" /INCREMENTAL /NOLOGO /LIBPATH:".\WindowsLibrary\VS2010" /NODEFAULTLIB:"libcmt.lib" /MANIFEST /MANIFESTFILE:"x64\Debug\GEM.exe.intermediate.manifest" /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /DEBUG /PDB:"F:\Master\marine\MarineEM\GEM\x64\Debug\GEM.pdb" /SUBSYSTEM:CONSOLE /STACK:10000000,10000000 /IMPLIB:"F:\Master\marine\MarineEM\GEM\x64\Debug\GEM.lib" tetcall.lib mkl_blas95_lp64.lib mkl_core.lib mkl_intel_lp64.lib mkl_intel_thread.lib

Besides, tetcall.lib is a

wen_qiang_z_ — Thu, 13 Dec 2018 11:54:54 GMT

Besides, tetcall.lib is a library to use Tetgen of which is a Quality Tetrahedral Mesh Generator and a 3D Delaunay Triangulator, and only used to get the information of inputted mesh