Thanks for the tip. Using dm_mat_type and dm_vec_type the code runs.
./${executable} \
-A_dm_mat_type aijcusparse \
-P_dm_mat_type aijcusparse \
-dm_vec_type cuda \
-use_gpu_aware_mpi 0 \
-em_ksp_monitor_true_residual \
-em_ksp_type bcgs \
-em_pc_type bjacobi \
-em_sub_pc_type ilu \
-em_sub_pc_factor_levels 3 \
-em_sub_pc_factor_fill 6 \
< ./Parameters.inp \
But at the end the message appears:
WARNING! There are options you set that were not used!
WARNING! could be spelling mistake, etc!
There are 3 unused database options. They are:
Option left: name:-A_dm_mat_type value: aijcusparse
Option left: name:-dm_vec_type value: cuda
Option left: name:-P_dm_mat_type value: aijcusparse
Using nvprof does not include kernels, only API use.
Ramoni Z. S. Azevedo
Em qua., 20 de set. de 2023 às 12:31, Junchao Zhang <junchao.zh...@gmail.com>
escreveu:
> Try to also add *-dm_mat_type aijcusparse -dm_vec_type cuda*
>
> --Junchao Zhang
>
>
> On Wed, Sep 20, 2023 at 10:21 AM Ramoni Z. Sedano Azevedo <
> ramoni.zsed...@gmail.com> wrote:
>
>>
>> Hey!
>>
>> I am using PETSc in a Fortran code and we use MPI parallelization. We
>> would like to use GPU parallelization, but we are encountering an error.
>>
>> PETSc is configured as follows:
>> #!/bin/bash
>> ./configure \
>> --prefix=${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
>>
>>
