[petsc-users] configure fails with batch+scalapack

[Matthew Knepley]

On Sun, Dec 17, 2017 at 3:29 PM, Santiago Andres Triana <repepo at gmail.com>
wrote:

> Dear petsc-users,
>
> I'm trying to install petsc in a cluster that uses a job manager.  This is
> the configure command I use:
>
> ./configure --known-mpi-shared-libraries=1 --with-scalar-type=complex
> --with-mumps=1 --download-mumps --download-parmetis
> --with-blaslapack-dir=/sw/sdev/intel/psxe2015u3/composer_xe_2015.3.187/mkl
> --download-metis --with-scalapack=1 --download-scalapack --with-batch
>
> This fails when including the option --with-batch together with
> --download-scalapack:
>

We need configure.log


> ============================================================
> ===================
>              Configuring PETSc to compile on your system
>
> ============================================================
> ===================
> TESTING: check from config.libraries(config/BuildSystem/config/libraries.py:158)
>                                          *****************************
> **************************************************
>          UNABLE to CONFIGURE with GIVEN OPTIONS    (see configure.log for
> details):
> ------------------------------------------------------------
> -------------------
> Unable to find scalapack in default locations!
> Perhaps you can specify with --with-scalapack-dir=<directory>
> If you do not want scalapack, then give --with-scalapack=0
> You might also consider using --download-scalapack instead
> ************************************************************
> *******************
>
>
> However, if I omit the --with-batch option, the configure script manages
> to succeed (it downloads and compiles scalapack; the install fails later at
> the make debug because of the job manager).
>

Can you send this failure as well?

  Thanks,

     Matt


> Any help or suggestion is highly appreciated. Thanks in advance!
>
> Andres
>



-- 
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.caam.rice.edu/~mk51/>
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