MPI_Type_create_darray(3) | Open MPI | MPI_Type_create_darray(3) |
MPI_Type_create_darray - Creates a distributed array datatype;
#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)
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
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
#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
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.
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.
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.
May 26, 2022 | 4.1.4 |