MPI_Type_vector.openmpi (3)

#include <mpi.h>
int MPI_Type_vector(int count, int blocklength, int stride,
	MPI_Datatype oldtype, MPI_Datatype *newtype)

INCLUDE 'mpif.h'
MPI_TYPE_VECTOR(COUNT, BLOCKLENGTH, STRIDE, OLDTYPE, NEWTYPE,
		IERROR)
	INTEGER	COUNT, BLOCKLENGTH, STRIDE, OLDTYPE
	INTEGER	NEWTYPE, IERROR

#include <mpi.h>
Datatype Datatype::Create_vector(int count, int blocklength,
	int stride) const

count

Number of blocks (nonnegative integer).

blocklength

Number of elements in each block (nonnegative integer).

stride

Number of elements between start of each block (integer).

oldtype

Old datatype (handle).

newtype

New datatype (handle).

IERROR

Fortran only: Error status (integer).

The function MPI_Type_vector is a general constructor that allows replication of a datatype into locations that consist of equally spaced blocks. Each block is obtained by concatenating the same number of copies of the old datatype. The spacing between blocks is a multiple of the extent of the old datatype.

Example 1: Assume, again, that oldtype has type map {(double, 0), (char, 8)}, with extent 16. A call to MPI_Type_vector(2, 3, 4, oldtype, newtype) will create the datatype with type map

    {(double, 0), (char, 8), (double, 16), (char, 24),
    (double, 32), (char, 40),
    (double, 64), (char, 72),
    (double, 80), (char, 88), (double, 96), (char, 104)}

That is, two blocks with three copies each of the old type, with a stride of 4 elements (4 x 6 bytes) between the blocks.

Example 2: A call to MPI_Type_vector(3, 1, -2, oldtype, newtype) will create the datatype

    {(double, 0), (char, 8), (double, -32), (char, -24),
    (double, -64), (char, -56)}

In general, assume that oldtype has type map

    {(type(0), disp(0)), ..., (type(n-1), disp(n-1))},

with extent ex. Let bl be the blocklength. The newly created datatype has a type map with count x bl x n entries:

    {(type(0), disp(0)), ..., (type(n-1), disp(n-1)),
    (type(0), disp(0) + ex), ..., (type(n-1), disp(n-1) + ex), ...,
    (type(0), disp(0) + (bl -1) * ex),...,
    (type(n-1), disp(n-1) + (bl -1)* ex),
    (type(0), disp(0) + stride * ex),..., (type(n-1),
    disp(n-1) + stride * ex), ...,
    (type(0), disp(0) + (stride + bl - 1) * ex), ...,
    (type(n-1), disp(n-1) + (stride + bl -1) * ex), ...,
    (type(0), disp(0) + stride * (count -1) * ex), ...,
    (type(n-1), disp(n-1) + stride * (count -1) * ex), ...,
    (type(0), disp(0) + (stride * (count -1) + bl -1) * ex), ...,
    (type(n-1), disp(n-1) + (stride * (count -1) + bl -1) * ex)}

A call to MPI_Type_contiguous(count, oldtype, newtype) is equivalent to a call to MPI_Type_vector(count, 1, 1, oldtype, newtype), or to a call to MPI_Type_vector(1, count, n, oldtype, newtype), n arbitrary.

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.

MPI_Type_create_hvector

MPI_Type_hvector