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 < [email protected]> 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 > >
