MPI_Iscan man page on Cygwin

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MPI_Scan(3)			   Open MPI			   MPI_Scan(3)

NAME
       MPI_Scan, MPI_Iscan - Computes an inclusive scan (partial reduction)

SYNTAX
C Syntax
       #include <mpi.h>
       int MPI_Scan(const void *sendbuf, void *recvbuf, int count,
		    MPI_Datatype datatype, MPI_Op op, MPI_Comm comm)

       int MPI_Iscan(const void *sendbuf, void *recvbuf, int count,
		     MPI_Datatype datatype, MPI_Op op, MPI_Comm comm,
		     MPI_Request *request)

Fortran Syntax
       INCLUDE 'mpif.h'
       MPI_SCAN(SENDBUF, RECVBUF, COUNT, DATATYPE, OP, COMM, IERROR)
	    <type>    SENDBUF(*), RECVBUF(*)
	    INTEGER   COUNT, DATATYPE, OP, COMM, IERROR

       MPI_ISCAN(SENDBUF, RECVBUF, COUNT, DATATYPE, OP, COMM, REQUEST, IERROR)
	    <type>    SENDBUF(*), RECVBUF(*)
	    INTEGER   COUNT, DATATYPE, OP, COMM, REQUEST, IERROR

C++ Syntax
       #include <mpi.h>
       void MPI::Intracomm::Scan(const void* sendbuf, void* recvbuf,
	    int count, const MPI::Datatype& datatype,
	    const MPI::Op& op) const

INPUT PARAMETERS
       sendbuf	 Send buffer (choice).

       count	 Number of elements in input buffer (integer).

       datatype	 Data type of elements of input buffer (handle).

       op	 Operation (handle).

       comm	 Communicator (handle).

OUTPUT PARAMETERS
       recvbuf	 Receive buffer (choice).

       request	 Request (handle, non-blocking only).

       IERROR	 Fortran only: Error status (integer).

DESCRIPTION
       MPI_Scan	 is used to perform an inclusive prefix reduction on data dis‐
       tributed across the calling processes. The operation  returns,  in  the
       recvbuf of the process with rank i, the reduction (calculated according
       to the function op) of the values in the	 sendbufs  of  processes  with
       ranks  0,  ...,	i (inclusive). The type of operations supported, their
       semantics, and the constraints on send and receive buffers are  as  for
       MPI_Reduce.

EXAMPLE
       This example uses a user-defined operation to produce a segmented scan.
       A segmented scan takes, as input, a set of values and a	set  of	 logi‐
       cals,  where  the  logicals delineate the various segments of the scan.
       For example,

       values	  v1	  v2	  v3	  v4	  v5	  v6	  v7	  v8
       logicals	  0	  0	  1	  1	  1	  0	  0	  1
       result	  v1	v1+v2	  v3	v3+v4  v3+v4+v5	  v6	v6+v7	  v8

       The result for rank j is thus the sum v(i) + ... + v(j), where i is the
       lowest  rank such that for all ranks n, i <= n <= j, logical(n) = logi‐
       cal(j). The operator that produces this effect is

	     [ u ]     [ v ]	 [ w ]
	     [	 ]  o  [   ]  =	 [   ]
	     [ i ]     [ j ]	 [ j ]

       where

		   ( u + v if i	 = j
	     w	=  (
		   ( v	   if i != j

       Note that this is a noncommutative operator. C code that implements  it
       is given below.

	    typedef struct {
		 double val;
		 int log;
	    } SegScanPair;

	    /*
	     * the user-defined function
	     */
	    void segScan(SegScanPair *in, SegScanPair *inout, int *len,
		 MPI_Datatype *dptr)
	    {
		 int i;
		 SegScanPair c;

		 for (i = 0; i < *len; ++i) {
		      if (in->log == inout->log)
			   c.val = in->val + inout->val;
		      else
			   c.val = inout->val;

		      c.log = inout->log;
		      *inout = c;
		      in++;
		      inout++;
		 }
	    }

       Note  that  the inout argument to the user-defined function corresponds
       to the right-hand operand of the operator. When using this operator, we
       must be careful to specify that it is noncommutative, as in the follow‐
       ing:

	    int		   i, base;
	    SeqScanPair	   a, answer;
	    MPI_Op	   myOp;
	    MPI_Datatype   type[2] = {MPI_DOUBLE, MPI_INT};
	    MPI_Aint	   disp[2];
	    int		   blocklen[2] = {1, 1};
	    MPI_Datatype   sspair;

	    /*
	     * explain to MPI how type SegScanPair is defined
	     */
	    MPI_Get_address(a, disp);
	    MPI_Get_address(a.log, disp + 1);
	    base = disp[0];
	    for (i = 0; i < 2; ++i)
		 disp[i] -= base;
	    MPI_Type_struct(2, blocklen, disp, type, &sspair);
	    MPI_Type_commit(&sspair);

	    /*
	     * create the segmented-scan user-op
	     * noncommutative - set commute (arg 2) to 0
	     */
	    MPI_Op_create((MPI_User_function *)segScan, 0, &myOp);
	    ...
	    MPI_Scan(a, answer, 1, sspair, myOp, comm);

USE OF IN-PLACE OPTION
       When the communicator is an intracommunicator, you can perform a	 scan‐
       ning  operation	in  place (the output buffer is used as the input buf‐
       fer).  Use the variable MPI_IN_PLACE as the value of the sendbuf	 argu‐
       ment.   The input data is taken from the receive buffer and replaced by
       the output data.

NOTES ON COLLECTIVE OPERATIONS
       The reduction functions of type MPI_Op do not return  an	 error	value.
       As  a  result,  if  the	functions  detect an error, all they can do is
       either call MPI_Abort or silently skip the problem. Thus, if the	 error
       handler	is  changed from MPI_ERRORS_ARE_FATAL to something else (e.g.,
       MPI_ERRORS_RETURN), then no error may be indicated.

       The reason for this is the performance problems in  ensuring  that  all
       collective routines return the same error value.

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.

       See the MPI man page for a full list of MPI error codes.

SEE ALSO
       MPI_Exscan
       MPI_Op_create
       MPI_Reduce

1.7.4				 Feb 04, 2014			   MPI_Scan(3)
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