blob: a8b0c60e420b63de1553bcde197784303edb1120 [file] [log] [blame]
! { dg-do run }
!TODO
! { dg-xfail-run-if TODO { openacc_radeon_accel_selected && { ! __OPTIMIZE__ } } }
! subroutine reduction with private and firstprivate variables
program reduction
integer, parameter :: n = 100
integer :: i, j, vsum, cs, arr(n)
call redsub_private (cs, n, arr)
call redsub_bogus (cs, n)
call redsub_combined (cs, n, arr)
vsum = 0
! Verify the results
do i = 1, n
vsum = i
do j = 1, n
vsum = vsum + 1;
end do
if (vsum .ne. arr(i)) STOP 1
end do
end program reduction
! This subroutine tests a reduction with an explicit private variable.
subroutine redsub_private(sum, n, arr)
integer :: sum, n, arr(n)
integer :: i, j, v
!$acc parallel copyout (arr)
!$acc loop gang private (v)
do j = 1, n
v = j
!$acc loop vector reduction (+:v)
do i = 1, 100
v = v + 1
end do
arr(j) = v
end do
!$acc end parallel
! verify the results
do i = 1, 10
if (arr(i) .ne. 100+i) STOP 2
end do
end subroutine redsub_private
! Bogus reduction on a firstprivate variable. The results do
! survive the parallel region. The goal here is to ensure that gfortran
! doesn't ICE.
subroutine redsub_bogus(sum, n)
integer :: sum, n, arr(n)
integer :: i
!$acc parallel firstprivate(sum)
!$acc loop gang worker vector reduction (+:sum)
do i = 1, n
sum = sum + 1
end do
!$acc end parallel
end subroutine redsub_bogus
! This reduction involving a firstprivate variable yields legitimate results.
subroutine redsub_combined(sum, n, arr)
integer :: sum, n, arr(n)
integer :: i, j
!$acc parallel copy (arr) firstprivate(sum)
!$acc loop gang
do i = 1, n
sum = i;
!$acc loop reduction(+:sum)
do j = 1, n
sum = sum + 1
end do
arr(i) = sum
end do
!$acc end parallel
end subroutine redsub_combined