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MPI_Type_create_darray(3OpenMPI)                                            MPI_Type_create_darray(3OpenMPI)



NAME
       MPI_Type_create_darray -SYNTAX MPI_Type_create_darraySYNTAX


SYNTAX
C Syntax
       #include <mpi.h>
       int MPI_Type_create_darray(int size, int rank, int ndims,
            int array_of_gsizes[], int array_of_distribs[],
            int array_of_dargs[], 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).


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 distri-bution distribution
       bution 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 distribu-
       tion argument of 15, and the HPF layout ARRAY(BLOCK) corresponds to MPI_DISTRIBUTE_BLOCK with a  dis-tribution distribution
       tribution 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. rowmajor.
       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.





Open MPI 1.2                                   September 2006               MPI_Type_create_darray(3OpenMPI)

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