[petsc-users] Problem with matrix and vector using GPU

[Stefano Zampini]

You are missing a call to DMSetFromOptions

On Wed, Sep 20, 2023, 19:20 Ramoni Z. Sedano Azevedo <
ramoni.zsedano at gmail.com> wrote:

> Thanks for the tip. Using dm_mat_type and dm_vec_type the code runs.
> ./${executable} \
>  -A_dm_mat_type aijcusparse \
>  -P_dm_mat_type aijcusparse \
>  -dm_vec_type cuda \
>  -use_gpu_aware_mpi 0 \
>  -em_ksp_monitor_true_residual \
>  -em_ksp_type bcgs \
>  -em_pc_type bjacobi \
>  -em_sub_pc_type ilu \
>  -em_sub_pc_factor_levels 3 \
>  -em_sub_pc_factor_fill 6 \
>  < ./Parameters.inp \
>
> But at the end the message appears:
> WARNING! There are options you set that were not used!
> WARNING! could be spelling mistake, etc!
> There are 3 unused database options. They are:
> Option left: name:-A_dm_mat_type value: aijcusparse
> Option left: name:-dm_vec_type value: cuda
> Option left: name:-P_dm_mat_type value: aijcusparse
>
> Using nvprof does not include kernels, only API use.
>
> Ramoni Z. S. Azevedo
>
> Em qua., 20 de set. de 2023 às 12:31, Junchao Zhang <
> junchao.zhang at gmail.com> escreveu:
>
>> Try to also add  *-dm_mat_type aijcusparse -dm_vec_type cuda*
>>
>> --Junchao Zhang
>>
>>
>> On Wed, Sep 20, 2023 at 10:21 AM Ramoni Z. Sedano Azevedo <
>> ramoni.zsedano at gmail.com> wrote:
>>
>>>
>>> Hey!
>>>
>>> I am using PETSc in a Fortran code and we use MPI parallelization. We
>>> would like to use GPU parallelization, but we are encountering an error.
>>>
>>> PETSc is configured as follows:
>>> #!/bin/bash
>>> ./configure \
>>>  --prefix=${PWD}/installdir \
>>>  --with-fortran \
>>>  --with-fortran-kernels=true \
>>>  --with-cuda \
>>>  --download-fblaslapack \
>>>  --with-scalar-type=complex \
>>>  --with-precision=double \
>>>  --with-debugging=yes \
>>>  --with-x=0 \
>>>  --with-gnu-compilers=1 \
>>>  --with-cc=mpicc \
>>>  --with-cxx=mpicxx \
>>>  --with-fc=mpif90 \
>>>  --with-make-exec=make
>>>
>>> Within my code, matrices and vectors are allocated with the following
>>> commands:
>>> PetscCallA( DMDACreate3d(PETSC_COMM_WORLD, DM_BOUNDARY_NONE,
>>> DM_BOUNDARY_NONE, DM_BOUNDARY_NONE, DMDA_STENCIL_BOX, l+1, m+1, nzn,
>>> PETSC_DECIDE, PETSC_DECIDE, PETSC_DECIDE, i3, i1, PETSC_NULL_INTEGER,
>>> PETSC_NULL_INTEGER, PETSC_NULL_INTEGER, da, ierr) )
>>>
>>> PetscCallA( DMSetUp(da,ierr) )
>>>
>>> PetscCallA( DMCreateGlobalVector(da,b,ierr) )
>>> PetscCallA( VecDuplicate(b,xsol,ierr) )
>>> PetscCallA( VecDuplicate(b,src,ierr) )
>>> PetscCallA( VecDuplicate(b,rhoxyz,ierr) )
>>>
>>> PetscCallA( DMCreateLocalVector(da,localx,ierr) )
>>> PetscCallA( VecDuplicate(localx,localb,ierr) )
>>> PetscCallA( VecDuplicate(localx,localsrc,ierr) )
>>> PetscCallA( VecDuplicate(localx,lrhoxyz,ierr) )
>>>
>>> PetscCallA( VecGetLocalSize(xsol,mloc,ierr) )
>>>
>>> ngrow=3*(l+1)*(m+1)*nzn
>>>
>>> PetscCallA( MatCreate(PETSC_COMM_WORLD,A,ierr) )
>>> PetscCallA( MatSetOptionsPrefix(A,'A_',ierr) )
>>> PetscCallA( MatSetSizes(A,mloc,mloc,ngrow,ngrow,ierr) )
>>> PetscCallA( MatSetFromOptions(A,ierr) )
>>> PetscCallA( MatSeqAIJSetPreallocation(A,i15,PETSC_NULL_INTEGER,ierr) )
>>> PetscCallA( MatSeqBAIJSetPreallocation(A, i3, i15, PETSC_NULL_INTEGER,
>>> ierr) )
>>>
>>> PetscCallA( MatMPIAIJSetPreallocation(A, i15, PETSC_NULL_INTEGER, i15,
>>> PETSC_NULL_INTEGER, ierr) )
>>>
>>> PetscCallA( MatMPIBAIJSetPreallocation(A, i3, i15, PETSC_NULL_INTEGER,
>>> i15, PETSC_NULL_INTEGER, ierr) )
>>>
>>> PetscCallA( MatCreate(PETSC_COMM_WORLD, P, ierr) )
>>> PetscCallA( MatSetOptionsPrefix(P, 'P_', ierr) )
>>> PetscCallA( MatSetSizes(P, mloc, mloc, ngrow, ngrow, ierr) )
>>> PetscCallA( MatSetFromOptions(P, ierr) )
>>> PetscCallA( MatSeqAIJSetPreallocation(P, i15, PETSC_NULL_INTEGER, ierr) )
>>> PetscCallA( MatSeqBAIJSetPreallocation(P, i3, i15, PETSC_NULL_INTEGER,
>>> ierr) )
>>>
>>> PetscCallA( MatMPIAIJSetPreallocation(P, i15, PETSC_NULL_INTEGER, i15,
>>> PETSC_NULL_INTEGER, ierr) )
>>> PetscCallA( MatMPIBAIJSetPreallocation(P, i3, i15, PETSC_NULL_INTEGER,
>>> i15, PETSC_NULL_INTEGER, ierr) )
>>>
>>> PetscCallA( DMDAGetInfo(da, PETSC_NULL_INTEGER, mx, my, mz,
>>> PETSC_NULL_INTEGER, PETSC_NULL_INTEGER, PETSC_NULL_INTEGER,
>>> PETSC_NULL_INTEGER, PETSC_NULL_INTEGER,
>>> PETSC_NULL_INTEGER,PETSC_NULL_INTEGER,PETSC_NULL_INTEGER,PETSC_NULL_INTEGER,ierr)
>>> )
>>> PetscCallA( DMDAGetCorners(da,xs,ys,zs,xm,ym,zm,ierr) )
>>> PetscCallA( DMDAGetGhostCorners(da,gxs,gys,gzs,gxm,gym,gzm,ierr) )
>>>
>>> PetscCallA( DMLocalToGlobal(da,localsrc,INSERT_VALUES,src,ierr) )
>>> PetscCallA( DMGlobalToLocalBegin(da, src, INSERT_VALUES, localsrc, ierr)
>>> )
>>> PetscCallA( DMGlobalToLocalEnd(da,src,INSERT_VALUES,localsrc,ierr) )
>>> PetscCallA( DMLocalToGlobal(da,localb,INSERT_VALUES,b,ierr) )
>>>
>>> When calling the solver function
>>> PetscCallA( KSPSolve(ksp,b,xsol,ierr) )
>>> the following error occurs:
>>>
>>> [0]PETSC ERROR: --------------------- Error Message --------------------------------------------------------------[0]PETSC ERROR: Invalid argument[0]PETSC ERROR: Object (seq) is not seqcuda or mpicuda[0]PETSC ERROR: WARNING! There are option(s) set that were not used! Could be the program crashed before they were used or a spelling mistake, etc![0]PETSC ERROR: Option left: name:-vec_type value: cuda[0]PETSC ERROR: See https://petsc.org/release/faq/ for trouble shooting.[0]PETSC ERROR: Petsc Release Version 3.18.4, unknown
>>>
>>> The code is executed with the following flags:
>>> ./${executable} \
>>>  -A_mat_type aijcusparse \
>>>  -P_mat_type aijcusparse \
>>>  -vec_type cuda \
>>>  -use_gpu_aware_mpi 0 \
>>>  -em_ksp_monitor_true_residual \
>>>  -em_ksp_type bcgs \
>>>  -em_pc_type bjacobi \
>>>  -em_sub_pc_type ilu \
>>>  -em_sub_pc_factor_levels 3 \
>>>  -em_sub_pc_factor_fill 6 \
>>>  < ./Parameters.inp \
>>>
>>> I've already tested using mpiaijcusparse for matrix and mpicuda for
>>> vector and the error continues.
>>>
>>> Would anyone have an idea what I might be doing wrong?
>>>
>>> Sincerely,
>>> Ramoni Z. S. Azevedo
>>>
>>>
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