xref: /petsc/src/mat/tests/ex33.c (revision f3fa974cd8ac3307c23c9d7e81b13b5f402f9e6e)

static char help[] = "Test memory scalability of MatMatMult() for AIJ and DENSE matrices. \n\
Modified from the code contributed by Ian Lin <iancclin@umich.edu> \n\n";

/*
Example:
  mpiexec -n <np> ./ex33 -mem_view -matmatmult_Bbn <Bbn>
*/

#include <petsc.h>

PetscErrorCode Print_memory(PetscLogDouble mem)
{
  double max_mem, min_mem;

  PetscFunctionBeginUser;
  PetscCallMPI(MPI_Reduce(&mem, &max_mem, 1, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD));
  PetscCallMPI(MPI_Reduce(&mem, &min_mem, 1, MPI_DOUBLE, MPI_MIN, 0, MPI_COMM_WORLD));
  max_mem = max_mem / 1024.0 / 1024.0;
  min_mem = min_mem / 1024.0 / 1024.0;
  PetscCall(PetscPrintf(MPI_COMM_WORLD, " max and min memory across all processors %.4f Mb, %.4f Mb.\n", (double)max_mem, (double)min_mem));
  PetscFunctionReturn(0);
}

/*
   Illustrate how to use MPI derived data types.
   It would save memory significantly. See MatMPIDenseScatter()
*/
PetscErrorCode TestMPIDerivedDataType()
{
  MPI_Datatype type1, type2, rtype1, rtype2;
  PetscInt     i, j;
  PetscScalar  buffer[24]; /* An array of 4 rows, 6 cols */
  MPI_Status   status;
  PetscMPIInt  rank, size, disp[2];

  PetscFunctionBeginUser;
  PetscCallMPI(MPI_Comm_size(MPI_COMM_WORLD, &size));
  PetscCheck(size >= 2, PETSC_COMM_SELF, PETSC_ERR_WRONG_MPI_SIZE, "Must use at least 2 processors");
  PetscCallMPI(MPI_Comm_rank(MPI_COMM_WORLD, &rank));

  if (rank == 0) {
    /* proc[0] sends 2 rows to proc[1] */
    for (i = 0; i < 24; i++) buffer[i] = (PetscScalar)i;

    disp[0] = 0;
    disp[1] = 2;
    PetscCallMPI(MPI_Type_create_indexed_block(2, 1, (const PetscMPIInt *)disp, MPIU_SCALAR, &type1));
    /* one column has 4 entries */
    PetscCallMPI(MPI_Type_create_resized(type1, 0, 4 * sizeof(PetscScalar), &type2));
    PetscCallMPI(MPI_Type_commit(&type2));
    PetscCallMPI(MPI_Send(buffer, 6, type2, 1, 123, MPI_COMM_WORLD));

  } else if (rank == 1) {
    /* proc[1] receives 2 rows from proc[0], and put them into contiguous rows, starting at the row 1 (disp[0]) */
    PetscInt blen = 2;
    for (i = 0; i < 24; i++) buffer[i] = 0.0;

    disp[0] = 1;
    PetscCallMPI(MPI_Type_create_indexed_block(1, blen, (const PetscMPIInt *)disp, MPIU_SCALAR, &rtype1));
    PetscCallMPI(MPI_Type_create_resized(rtype1, 0, 4 * sizeof(PetscScalar), &rtype2));

    PetscCallMPI(MPI_Type_commit(&rtype2));
    PetscCallMPI(MPI_Recv(buffer, 6, rtype2, 0, 123, MPI_COMM_WORLD, &status));
    for (i = 0; i < 4; i++) {
      for (j = 0; j < 6; j++) PetscCall(PetscPrintf(MPI_COMM_SELF, "  %g", (double)PetscRealPart(buffer[i + j * 4])));
      PetscCall(PetscPrintf(MPI_COMM_SELF, "\n"));
    }
  }

  if (rank == 0) {
    PetscCallMPI(MPI_Type_free(&type1));
    PetscCallMPI(MPI_Type_free(&type2));
  } else if (rank == 1) {
    PetscCallMPI(MPI_Type_free(&rtype1));
    PetscCallMPI(MPI_Type_free(&rtype2));
  }
  PetscCallMPI(MPI_Barrier(MPI_COMM_WORLD));
  PetscFunctionReturn(0);
}

int main(int argc, char **args)
{
  PetscInt mA = 2700, nX = 80, nz = 40;
  /* PetscInt        mA=6,nX=5,nz=2; //small test */
  PetscLogDouble mem;
  Mat            A, X, Y;
  PetscBool      flg = PETSC_FALSE;

  PetscFunctionBeginUser;
  PetscCall(PetscInitialize(&argc, &args, (char *)0, help));
  PetscCall(PetscOptionsGetBool(NULL, NULL, "-test_mpiderivedtype", &flg, NULL));
  if (flg) {
    PetscCall(TestMPIDerivedDataType());
    PetscCall(PetscFinalize());
    return 0;
  }

  PetscCall(PetscOptionsGetBool(NULL, NULL, "-mem_view", &flg, NULL));
  PetscCall(PetscMemoryGetCurrentUsage(&mem));
  if (flg) {
    PetscCall(PetscPrintf(MPI_COMM_WORLD, "Before start,"));
    PetscCall(Print_memory(mem));
  }

  PetscCall(MatCreateAIJ(PETSC_COMM_WORLD, PETSC_DECIDE, PETSC_DECIDE, mA, mA, nz, NULL, nz, NULL, &A));
  PetscCall(MatSetRandom(A, NULL));
  PetscCall(PetscMemoryGetCurrentUsage(&mem));
  if (flg) {
    PetscCall(PetscPrintf(MPI_COMM_WORLD, "After creating A,"));
    PetscCall(Print_memory(mem));
  }

  PetscCall(MatCreateDense(PETSC_COMM_WORLD, PETSC_DECIDE, PETSC_DECIDE, mA, nX, NULL, &X));
  PetscCall(MatSetRandom(X, NULL));
  PetscCall(PetscMemoryGetCurrentUsage(&mem));
  if (flg) {
    PetscCall(PetscPrintf(MPI_COMM_WORLD, "After creating X,"));
    PetscCall(Print_memory(mem));
  }

  PetscCall(MatMatMult(A, X, MAT_INITIAL_MATRIX, PETSC_DEFAULT, &Y));
  PetscCall(PetscMemoryGetCurrentUsage(&mem));
  if (flg) {
    PetscCall(PetscPrintf(MPI_COMM_WORLD, "After MatMatMult,"));
    PetscCall(Print_memory(mem));
  }

  /* Test reuse */
  PetscCall(MatMatMult(A, X, MAT_REUSE_MATRIX, PETSC_DEFAULT, &Y));
  PetscCall(PetscMemoryGetCurrentUsage(&mem));
  if (flg) {
    PetscCall(PetscPrintf(MPI_COMM_WORLD, "After reuse MatMatMult,"));
    PetscCall(Print_memory(mem));
  }

  /* Check accuracy */
  PetscCall(MatMatMultEqual(A, X, Y, 10, &flg));
  PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_ARG_NOTSAMETYPE, "Error in MatMatMult()");

  PetscCall(MatDestroy(&A));
  PetscCall(MatDestroy(&X));
  PetscCall(MatDestroy(&Y));

  PetscCall(PetscFinalize());
  return 0;
}

/*TEST

   test:
      suffix: 1
      nsize: 4
      output_file: output/ex33.out

   test:
      suffix: 2
      nsize: 8
      output_file: output/ex33.out

   test:
      suffix: 3
      nsize: 2
      args: -test_mpiderivedtype
      output_file: output/ex33_3.out

TEST*/