Dear all, I just discovered that
x = da.getVecArray(X) does not return a numpy array but rather a _DMDA_Vec_array, which has (I guess) the great advantage of allowing for a starting index which is not zero. So x[87] makes sense even if the actual length of x is only 50. What I would like to do is to split the _DMDA_Vec_array x into multiple variables, e.g. x1,x2,x3 = x[:,0:12] , x[:,12:16], x[:,16:28] which, written in this way, returns x1,x2,x3 as numpy view() arrays starting from zero and of length equal to the length of the global X divided by the number of processors. The arrays x1,x2,x3 thus becomes unaccessible when using global indices. Using local indices does not look like a good idea because of the presence of ghost entries. I was wondering if there is any good way to address this situation besides not splitting x in x1,x2,x3. Thanks for your help, Gianluca
