On Aug 3, 2020, at 10:21 PM, Xiaoye S. Li <x...@lbl.gov> wrote:
Regarding MKL, superlu only uses some BLAS routines in MKL. If
you have alternative BLAS, you don't need to use MKL.
But, in my experience, on an Intel system, the compiler can
correctly include the path with mkl.h, that is, I don't need to
do anything special.
I think mpiicc should work.
Sherry
On Mon, Aug 3, 2020 at 8:46 AM <f...@rzg.mpg.de
<mailto:f...@rzg.mpg.de>> wrote:
Hi Barry,
Thanks for the branch (and thanks to Sherry as well). I tried to use
the configure example " arch-ci-linux-intel-mkl-single.py" (adding the
--with-batch flag, since I am running on a cluster), but I get the
following error message:
TESTING: check from
config.libraries(config/BuildSystem/config/libraries.py:157)
*******************************************************************************
UNABLE to CONFIGURE with GIVEN OPTIONS (see configure.log
for details):
-------------------------------------------------------------------------------
Downloaded ptscotch could not be used. Please check install in
/u/flw/petsc-hash-pkgs/073aec050
(see configure1.log)
Next I tried a minimalistic version using Intel MPI compilers:
./configure --download-superlu_dist --download-metis
--download-parmetis --download-ptscotch --with-precision=single
--with-batch --with-fc=mpiifort --with-cc=mpiicc --with-cxx=mpiicpc
There I got the following error:
=============================================================================== Compiling and installing SUPERLU_DIST; this may take several minutes
===============================================================================
*******************************************************************************
UNABLE to CONFIGURE with GIVEN OPTIONS (see configure.log
for details):
-------------------------------------------------------------------------------
Error running make on SUPERLU_DIST
(see configure2.log)
Next I tried
./configure --download-superlu_dist --download-metis
--download-parmetis --download-ptscotch --with-precision=single
--with-batch
--with-mpi-dir=/mpcdf/soft/SLE_12/packages/x86_64/intel_parallel_studio/2018.4/impi/2018.4.274/intel64
Same error message (see configure3.log)
It seems that there is something going on with mkl in case I want to
use Intel compilers for C and C++ (compiling with gcc and g++ seems to
work )
Do you know what is going on there? (I am running on the Draco
cluster, if that helps
(https://www.mpcdf.mpg.de/services/computing/draco
<https://www.mpcdf.mpg.de/services/computing/draco>))
Best regards,
Felix
Zitat von Barry Smith <bsm...@petsc.dev <mailto:bsm...@petsc.dev>>:
> Felix,
>
> The branch is ready. Just use
>
> git checkout barry/2020-07-28/superlu_dist-single
> ./configure --download-superlu_dist --download-metis
> --download-parmetis --download-ptscotch --with-precision=single
> and whatever else you use
>
> Barry
>
> It will automatically get the needed branch of SuperLU_DIST that
> Sherry prepared.
>
>
>> On Jul 27, 2020, at 2:10 PM, f...@rzg.mpg.de
<mailto:f...@rzg.mpg.de> wrote:
>>
>> Hi Shery,
>> Yes, ideally we would like to compile PETSc in single precision and
>> simply run a single precision version of SUPERLU_DIST just like
>> e.g. MUMPS.
>>
>> Best regards and thanks,
>> Felix
>> Zitat von "Xiaoye S. Li" <x...@lbl.gov <mailto:x...@lbl.gov>>:
>>
>>> Barry,
>>>
>>> I have a branch 'Mixed-precision' working with single
precision FP32. I
>>> assume Felix wants to use superlu_dist from petsc. How do you want to
>>> incorporate it in petsc?
>>>
>>> https://github.com/xiaoyeli/superlu_dist
<https://github.com/xiaoyeli/superlu_dist>
>>>
>>> PS1: in this version, FP32 only works on CPU. FP64 and
complex-FP64 all
>>> work on GPU.
>>>
>>> PS2: currently there is no mixed-precision yet, but it is the
branch we are
>>> adding mix-prec support. Will take a while before merging to master.
>>>
>>> Sherry
>>>
>>>
>>> On Wed, Jul 22, 2020 at 6:04 AM <f...@rzg.mpg.de
<mailto:f...@rzg.mpg.de>> wrote:
>>>
>>>> Hi Barry,
>>>> for now I just want to run everything in single on CPUs only with
>>>> SUPERLU_DIST. Maybe we will also incorporate GPUs in the future, but
>>>> there are no immediate plans yet. So if you could provide
the support,
>>>> that would be awesome.
>>>>
>>>> Best regards,
>>>> Felix
>>>>
>>>> Zitat von Barry Smith <bsm...@petsc.dev <mailto:bsm...@petsc.dev>>:
>>>>
>>>> > Felix,
>>>> >
>>>> > What are your needs, do you want this for CPUs or for GPUs? Do
>>>> > you wish to run all your code in single precision or just the
>>>> > SuperLU_Dist solver while the rest of your code double?
>>>> >
>>>> > If you want to run everything on CPUs using single precision
>>>> > then adding the support is very easy, we can provide that for you
>>>> > any time. The other cases will require more thought.
>>>> >
>>>> > Barry
>>>> >
>>>> >
>>>> >> On Jul 21, 2020, at 8:58 AM, f...@rzg.mpg.de
<mailto:f...@rzg.mpg.de> wrote:
>>>> >>
>>>> >> Dear PETSc support team,
>>>> >> some time ago you told me that you are planning on releasing a
>>>> >> version that supports SUPERLU_DIST in single-precision soon. Can
>>>> >> you tell me roughly what time frame you had in mind?
>>>> >>
>>>> >> Best regards,
>>>> >> Felix
>>>> >>
>>>>
>>>>
>>>>
>>>>
>>
>>
>>
