MPI_Type_create_darray(3) Open MPI MPI_Type_create_darray(3)NAMEMPI_Type_create_darray - Creates a distributed array datatype;
SYNTAXC 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
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
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).
DESCRIPTIONMPI_Type_create_darray can be used to generate the data types corre‐
sponding 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 dis‐
tributed 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_DIS‐
TRIBUTE_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_DISTRIB‐
UTE_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_DISTRIB‐
UTE_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_DIS‐
TRIBUTE_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 pro‐
vided 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++ func‐
tions 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.
1.7.4 Feb 04, 2014 MPI_Type_create_darray(3)
