Provided by: openmpi-doc_4.1.6-7ubuntu2_all 
NAME
MPI_Type_create_darray - Creates a distributed array datatype;
SYNTAX
C Syntax
#include <mpi.h>
int MPI_Type_create_darray(int size, int rank, int ndims,
const int array_of_gsizes[], const int array_of_distribs[],
const int array_of_dargs[], const int array_of_psizes[],
int order, MPI_Datatype oldtype, MPI_Datatype *newtype)
Fortran Syntax
USE MPI
! or the older form: INCLUDE 'mpif.h'
MPI_TYPE_CREATE_DARRAY(SIZE, RANK, NDIMS, ARRAY_OF_GSIZES,
ARRAY_OF_DISTRIBS, ARRAY_OF_DARGS, ARRAY_OF_PSIZES, ORDER,
OLDTYPE, NEWTYPE, IERROR)
INTEGER SIZE, RANK, NDIMS, ARRAY_OF_GSIZES(*), ARRAY_OF_DISTRIBS(*),
ARRAY_OF_DARGS(*), ARRAY_OF_PSIZES(*), ORDER, OLDTYPE,
NEWTYPE, IERROR
Fortran 2008 Syntax
USE mpi_f08
MPI_Type_create_darray(size, rank, ndims, array_of_gsizes,
array_of_distribs, array_of_dargs, array_of_psizes, order,
oldtype, newtype, ierror)
INTEGER, INTENT(IN) :: size, rank, ndims, array_of_gsizes(ndims),
array_of_distribs(ndims), array_of_dargs(ndims),
array_of_psizes(ndims), order
TYPE(MPI_Datatype), INTENT(IN) :: oldtype
TYPE(MPI_Datatype), INTENT(OUT) :: newtype
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
C++ Syntax
#include <mpi.h>
MPI::Datatype MPI::Datatype::Create_darray(int size, int rank,
int ndims, const int array_of_gsizes[],
const int array_of_distribs[], const int array_of_dargs[],
const int array_of_psizes[], int order) const
INPUT PARAMETERS
size Size of process group (positive integer).
rank Rank in process group (nonnegative integer).
ndims Number of array dimensions as well as process grid dimensions (positive integer).
array_of_gsizes
Number of elements of type oldtype in each dimension of global array (array of positive
integers).
array_of_distribs
Distribution of array in each dimension (array of state).
array_of_dargs
Distribution argument in each dimension (array of positive integers).
array_of_psizes
Size of process grid in each dimension (array of positive integers).
order Array storage order flag (state).
oldtype Old data type (handle).
OUTPUT PARAMETERS
newtype New data type (handle).
IERROR Fortran only: Error status (integer).
DESCRIPTION
MPI_Type_create_darray can be used to generate the data types corresponding to the distribution of an
ndims-dimensional array of oldtype elements onto an ndims-dimensional grid of logical processes. Unused
dimensions of array_of_psizes should be set to 1. For a call to MPI_Type_create_darray to be correct, the
equation
ndims-1
pi array_of_psizes[i] = size
i=0
must be satisfied. The ordering of processes in the process grid is assumed to be row-major, as in the
case of virtual Cartesian process topologies in MPI-1.
Each dimension of the array can be distributed in one of three ways:
- MPI_DISTRIBUTE_BLOCK - Block distribution
- MPI_DISTRIBUTE_CYCLIC - Cyclic distribution
- MPI_DISTRIBUTE_NONE - Dimension not distributed.
The constant MPI_DISTRIBUTE_DFLT_DARG specifies a default distribution argument. The distribution
argument for a dimension that is not distributed is ignored. For any dimension i in which the
distribution is MPI_DISTRIBUTE_BLOCK, it erroneous to specify array_of_dargs[i] * array_of_psizes[i] <
array_of_gsizes[i].
For example, the HPF layout ARRAY(CYCLIC(15)) corresponds to MPI_DISTRIBUTE_CYCLIC with a distribution
argument of 15, and the HPF layout ARRAY(BLOCK) corresponds to MPI_DISTRIBUTE_BLOCK with a distribution
argument of MPI_DISTRIBUTE_DFLT_DARG.
The order argument is used as in MPI_TYPE_CREATE_SUBARRAY to specify the storage order. Therefore, arrays
described by this type constructor may be stored in Fortran (column-major) or C (row-major) order. Valid
values for order are MPI_ORDER_FORTRAN and MPI_ORDER_C.
This routine creates a new MPI data type with a typemap defined in terms of a function called "cyclic()"
(see below).
Without loss of generality, it suffices to define the typemap for the MPI_DISTRIBUTE_CYCLIC case where
MPI_DISTRIBUTE_DFLT_DARG is not used.
MPI_DISTRIBUTE_BLOCK and MPI_DISTRIBUTE_NONE can be reduced to the MPI_DISTRIBUTE_CYCLIC case for
dimension i as follows.
MPI_DISTRIBUTE_BLOCK with array_of_dargs[i] equal to MPI_DISTRIBUTE_DFLT_DARG is equivalent to
MPI_DISTRIBUTE_CYCLIC with array_of_dargs[i] set to
(array_of_gsizes[i] + array_of_psizes[i] - 1)/array_of_psizes[i]
If array_of_dargs[i] is not MPI_DISTRIBUTE_DFLT_DARG, then MPI_DISTRIBUTE_BLOCK and DISTRIBUTE_CYCLIC are
equivalent.
MPI_DISTRIBUTE_NONE is equivalent to MPI_DISTRIBUTE_CYCLIC with array_of_dargs[i] set to
array_of_gsizes[i].
Finally, MPI_DISTRIBUTE_CYCLIC with array_of_dargs[i] equal to MPI_DISTRIBUTE_DFLT_DARG is equivalent to
MPI_DISTRIBUTE_CYCLIC with array_of_dargs[i] set to 1.
NOTES
For both Fortran and C arrays, the ordering of processes in the process grid is assumed to be row-major.
This is consistent with the ordering used in virtual Cartesian process topologies in MPI-1. To create
such virtual process topologies, or to find the coordinates of a process in the process grid, etc., users
may use the corresponding functions provided in MPI-1.
ERRORS
Almost all MPI routines return an error value; C routines as the value of the function and Fortran
routines in the last argument. C++ functions do not return errors. If the default error handler is set to
MPI::ERRORS_THROW_EXCEPTIONS, then on error the C++ exception mechanism will be used to throw an
MPI::Exception object.
Before the error value is returned, the current MPI error handler is called. By default, this error
handler aborts the MPI job, except for I/O function errors. The error handler may be changed with
MPI_Comm_set_errhandler; the predefined error handler MPI_ERRORS_RETURN may be used to cause error values
to be returned. Note that MPI does not guarantee that an MPI program can continue past an error.
4.1.6 Sep 30, 2023 MPI_Type_create_darray(3)