OpenMP parallel do simd collapse problem

Dear all,

when compiling the following demo code

program collapse

  implicit none

  real, dimension(1000)   :: data1 = 1.0e0
  real, dimension(100,10) :: data2 = 1.0e0
  integer :: i,j

  !$omp parallel do simd
  do i=1,size(data1,1)
    data1(i) = data1(i) + 1.0e0
  end do
  !$omp end parallel do simd

  !$omp parallel do
  do i=1,size(data1,1)
    data1(i) = data1(i) + 1.0e0
  end do
  !$omp end parallel do

  !$omp parallel do simd collapse(2)
  do j=1,size(data2,2)
    do i=1,size(data2,1)
      data2(i,j) = data2(i,j) + 1.0e0
    end do
  end do
  !$omp end parallel do simd

  !$omp parallel do collapse(2)
  do j=1,size(data2,2)
    do i=1,size(data2,1)
      data2(i,j) = data2(i,j) + 1.0e0
    end do
  end do
  !$omp end parallel do

end program collapse

with

ifort (IFORT) 14.0.3 20140422

Copyright (C) 1985-2014 Intel Corporation.  All rights reserved.

under

Ubuntu 12.04.4 LTS

running on a 

Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz

I receive the following messages:

$> ifort -openmp -openmp_report2 -vec_report2 collapse.f90 -o collapse

collapse.f90(9): (col. 9) remark: OpenMP DEFINED LOOP WAS PARALLELIZED

collapse.f90(15): (col. 9) remark: OpenMP DEFINED LOOP WAS PARALLELIZED

collapse.f90(21): (col. 9) remark: OpenMP DEFINED LOOP WAS PARALLELIZED

collapse.f90(29): (col. 9) remark: OpenMP DEFINED LOOP WAS PARALLELIZED

collapse.f90(10): (col. 3) remark: OpenMP SIMD LOOP WAS VECTORIZED

collapse.f90(16): (col. 3) remark: LOOP WAS VECTORIZED

collapse.f90(25): (col. 5) remark: loop was not vectorized: statement cannot be vectorized

collapse.f90(22): (col. 3) warning #13379: loop was not vectorized with "simd"

collapse.f90(30): (col. 3) remark: loop was not vectorized: existence of vector dependence

Is there a reason she the loop (imp parallel do sims collapse(2)) starting at line 21-22 cannot be parallelized and vectorized, whereas the one at line 9-10 can be parallelized and vectorized? If so, can I add some more instructions to make this happen?

Thank you in advance,

Matthias