[petsc-users] problem with CISS in SLEPC
Matthew Knepley
knepley at gmail.com
Thu Jul 11 12:43:25 CDT 2019
On Thu, Jul 11, 2019 at 12:37 PM Povolotskyi, Mykhailo via petsc-users <
petsc-users at mcs.anl.gov> wrote:
> Hello,
>
> I want to use CISS for my eigenvalue problem. To test it I tried a
> simple (2x2) matrix case, but the code failed with the following message:
>
> [0]PETSC ERROR: --------------------- Error Message
> --------------------------------------------------------------
> [0]PETSC ERROR: Error in external library
> [0]PETSC ERROR: Error in LAPACK subroutine gesvd: info=127
>
This does not make sense. The error is supposed to be the number of
non-converged diagonals, but
you only have a 2x2 problem, so something else is wrong.
Matt
> [0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html
> for trouble shooting.
> [0]PETSC ERROR: Petsc Release Version 3.8.4, Mar, 24, 2018
> [0]PETSC ERROR: var1 on a linux-complex named brown-a027.rcac.purdue.edu
> by mpovolot Thu Jul 11 13:28:21 2019
> [0]PETSC ERROR: Configure options --with-scalar-type=complex --with-x=0
> --with-hdf5 --download-hdf5=1 --with-single-library=1 --with-pic=1
> --with-shared-libraries=0 --with-log=0 --with-clanguage=C++
> --CXXFLAGS="-fopenmp -fPIC" --CFLAGS="-fopenmp -fPIC" --with-fortran=0
> --FFLAGS="-fopenmp -fPIC" --with-debugging=0 --with-cc=mpicc
> --with-fc=mpif90 --with-cxx=mpicxx COPTFLAGS= CXXOPTFLAGS= FOPTFLAGS=
> --download-metis=1 --download-parmetis=1
> --with-valgrind-dir=/apps/brown/valgrind/3.13.0_gcc-4.8.5
> --download-mumps=1 --with-fortran-kernels=0 --download-superlu_dist=1
> --with-blaslapack-lib="-L/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/lib/intel64
>
> -lmkl_intel_lp64 -lmkl_gnu_thread -lmkl_core "
> --with-blacs-lib=/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/lib/intel64/libmkl_blacs_intelmpi_lp64.so
>
> --with-blacs-include=/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/include
>
> --with-scalapack-lib="-Wl,-rpath,/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/lib/intel64
>
> -L/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/lib/intel64
>
> -lmkl_gf_lp64 -lmkl_gnu_thread -lmkl_core -lpthread
> -L/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/lib/intel64
>
> -lmkl_scalapack_lp64 -lmkl_blacs_intelmpi_lp64"
>
> --with-scalapack-include=/apps/cent7/intel/compilers_and_libraries_2017.1.132/linux/mkl/include
> [0]PETSC ERROR: #1 SVD_S() line 611 in
>
> /depot/kildisha/apps/brown/nemo5/libs/slepc/build-cplx/src/eps/impls/ciss/ciss.c
> [0]PETSC ERROR: #2 EPSSolve_CISS() line 1028 in
>
> /depot/kildisha/apps/brown/nemo5/libs/slepc/build-cplx/src/eps/impls/ciss/ciss.c
> [0]PETSC ERROR: #3 EPSSolve() line 147 in
>
> /depot/kildisha/apps/brown/nemo5/libs/slepc/build-cplx/src/eps/interface/epssolve.c
>
>
> Here is the code:
>
> void test1()
> {
> Mat matrix_petsc;
>
> MatCreateDense(MPI_COMM_SELF,2,2,PETSC_DECIDE,PETSC_DECIDE,NULL,&matrix_petsc);
> MatSetValue(matrix_petsc,0,0,complex<double>(1,0),INSERT_VALUES);
> MatSetValue(matrix_petsc,1,1,complex<double>(2,0),INSERT_VALUES);
> MatSetValue(matrix_petsc,0,1,complex<double>(0,0),INSERT_VALUES);
> MatSetValue(matrix_petsc,1,0,complex<double>(0,0),INSERT_VALUES);
> MatAssemblyBegin(matrix_petsc, MAT_FINAL_ASSEMBLY);
> MatAssemblyEnd(matrix_petsc, MAT_FINAL_ASSEMBLY);
>
> {
> EPS eps;
> EPSType type;
> RG rg;
>
> EPSCreate(MPI_COMM_SELF,&eps);
> EPSSetOperators( eps,matrix_petsc,NULL);
> EPSSetType(eps,EPSCISS);
> EPSSetProblemType(eps, EPS_NHEP);
>
> double real_min = -10;
> double real_max = 10;
>
> double imag_min = -10;
> double imag_max = 10;
>
> EPSGetRG(eps,&rg);
> RGSetType(rg,RGINTERVAL);
> RGIntervalSetEndpoints(rg,real_min,real_max,imag_min,imag_max);
>
> EPSSolve(eps);
>
> EPSDestroy(&eps);
> }
>
>
> MatDestroy(&matrix_petsc);
>
> }
>
>
> Do you see anything wrong in the way I'm calling SLEPC functions?
>
> Thank you,
>
> Michael.
>
>
--
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
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