[petsc-users] Memory leak at GPU when updating matrix of type mpiaijcusparse (CUDA)
Junchao Zhang
jczhang at mcs.anl.gov
Fri Feb 28 12:13:12 CST 2020
I will take a look at it and get back to you. Thanks.
On Fri, Feb 28, 2020, 7:29 AM jordic <jordic at cttc.upc.edu> wrote:
> Dear all,
>
> the following simple program:
>
>
> //////////////////////////////////////////////////////////////////////////////////////
>
> #include <petscmat.h>
>
> PetscInt ierr=0;
> int main(int argc,char **argv)
> {
> MPI_Comm comm;
> PetscMPIInt rank,size;
>
> PetscInitialize(&argc,&argv,NULL,help);if (ierr) return ierr;
> comm = PETSC_COMM_WORLD;
> MPI_Comm_rank(comm,&rank);
> MPI_Comm_size(comm,&size);
>
> Mat A;
> MatCreate(comm, &A);
> MatSetSizes(A, 1, 1, PETSC_DETERMINE, PETSC_DETERMINE);
> MatSetFromOptions(A);
> PetscInt dnz=1, onz=0;
> MatMPIAIJSetPreallocation(A, 0, &dnz, 0, &onz);
> MatSetOption(A, MAT_NO_OFF_PROC_ENTRIES, PETSC_TRUE);
> MatSetOption(A, MAT_IGNORE_ZERO_ENTRIES, PETSC_TRUE);
> PetscInt igid=rank, jgid=rank;
> PetscScalar value=rank+1.0;
>
> // for(int i=0; i<10; ++i)
> for(;;) //infinite loop
> {
> MatSetValue(A, igid, jgid, value, INSERT_VALUES);
> MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY);
> MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY);
> }
> MatDestroy(&A);
> PetscFinalize();
> return ierr;
> }
>
>
> //////////////////////////////////////////////////////////////////////////////////////
>
> creates a simple diagonal matrix with one value per mpi-core. If the type
> of the matrix is "mpiaij" (-mat_type mpiaij) there is no problem but with
> "mpiaijcusparse" (-mat_type mpiaijcusparse) the memory usage at the GPU
> grows with every iteration of the infinite loop. The only solution that I
> found is to destroy and create the matrix every time that it needs to be
> updated. Is there a better way to avoid this problem?
>
> I am using Petsc Release Version 3.12.2 with this configure options:
>
> Configure options --package-prefix-hash=/home_nobck/user/petsc-hash-pkgs
> --with-debugging=0 --with-fc=0 CC=gcc CXX=g++ --COPTFLAGS="-g -O3"
> --CXXOPTFLAGS="-g -O3" --CUDAOPTFLAGS="-D_FORCE_INLINES -g -O3"
> --with-mpi-include=/usr/lib/openmpi/include
> --with-mpi-lib="-L/usr/lib/openmpi/lib -lmpi_cxx -lmpi" --with-cuda=1
> --with-precision=double --with-cuda-include=/usr/include
> --with-cuda-lib="-L/usr/lib/x86_64-linux-gnu -lcuda -lcudart -lcublas
> -lcufft -lcusparse -lcusolver" PETSC_ARCH=arch-ci-linux-opt-cxx-cuda-double
>
> Thanks for your help,
>
> Jorge
>
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