** Example**
We show how to implement the generic indirect assignment
A = B(map), where ` A, B` and ` map` have the same
distribution, and ` map` is a permutation. To simplify, we assume
a block distribution with equal size
blocks.

SUBROUTINE MAPVALS(A, B, map, m, comm, p) USE MPI INTEGER m, map(m), comm, p REAL A(m), B(m) INTEGER otype(p), oindex(m), & ! used to construct origin datatypes ttype(p), tindex(m), & ! used to construct target datatypes count(p), total(p), & win, ierr INTEGER (KIND=MPI_ADDRESS_KIND) lowerbound, sizeofreal ! This part does the work that depends on the locations of B. ! Can be reused while this does not change CALL MPI_TYPE_GET_EXTENT(MPI_REAL, lowerbound, sizeofreal, ierr) CALL MPI_WIN_CREATE(B, m*sizeofreal, sizeofreal, MPI_INFO_NULL, & comm, win, ierr) ! This part does the work that depends on the value of map and ! the locations of the arrays. ! Can be reused while these do not change ! Compute number of entries to be received from each process DO i=1,p count(i) = 0 END DO DO i=1,m j = map(i)/m+1 count(j) = count(j)+1 END DO total(1) = 0 DO i=2,p total(i) = total(i-1) + count(i-1) END DO DO i=1,p count(i) = 0 END DO ! compute origin and target indices of entries. ! entry i at current process is received from location ! k at process (j-1), where map(i) = (j-1)*m + (k-1), ! j = 1..p and k = 1..m DO i=1,m j = map(i)/m+1 k = MOD(map(i),m)+1 count(j) = count(j)+1 oindex(total(j) + count(j)) = i tindex(total(j) + count(j)) = k END DO ! create origin and target datatypes for each get operation DO i=1,p CALL MPI_TYPE_CREATE_INDEXED_BLOCK(count(i), 1, oindex(total(i)+1), & MPI_REAL, otype(i), ierr) CALL MPI_TYPE_COMMIT(otype(i), ierr) CALL MPI_TYPE_CREATE_INDEXED_BLOCK(count(i), 1, tindex(total(i)+1), & MPI_REAL, ttype(i), ierr) CALL MPI_TYPE_COMMIT(ttype(i), ierr) END DO ! this part does the assignment itself CALL MPI_WIN_FENCE(0, win, ierr) DO i=1,p CALL MPI_GET(A, 1, otype(i), i-1, 0, 1, ttype(i), win, ierr) END DO CALL MPI_WIN_FENCE(0, win, ierr) CALL MPI_WIN_FREE(win, ierr) DO i=1,p CALL MPI_TYPE_FREE(otype(i), ierr) CALL MPI_TYPE_FREE(ttype(i), ierr) END DO RETURN END

A simpler version can be written that does not require that a datatype be built for the target buffer. But, one then needs a separate get call for each entry, as illustrated below. This code is much simpler, but usually much less efficient, for large arrays.

SUBROUTINE MAPVALS(A, B, map, m, comm, p) USE MPI INTEGER m, map(m), comm, p REAL A(m), B(m) INTEGER win, ierr INTEGER (KIND=MPI_ADDRESS_KIND) lowerbound, sizeofreal CALL MPI_TYPE_GET_EXTENT(MPI_REAL, lowerbound, sizeofreal, ierr) CALL MPI_WIN_CREATE(B, m*sizeofreal, sizeofreal, MPI_INFO_NULL, & comm, win, ierr) CALL MPI_WIN_FENCE(0, win, ierr) DO i=1,m j = map(i)/p k = MOD(map(i),p) CALL MPI_GET(A(i), 1, MPI_REAL, j, k, 1, MPI_REAL, win, ierr) END DO CALL MPI_WIN_FENCE(0, win, ierr) CALL MPI_WIN_FREE(win, ierr) RETURN END

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