Yes, all the component arrays of the derived type vector are of the same size, though I am not sure that that actually makes the task any easier?
I suspected, just as you said, that copying the data into a contiguous block of memory might be the best solution. I was hoping though that I could make it more elegant/efficient using the MPI derived type feature. Thanks for the quick response Derek 2010/5/4 Cole, Derek E <derek.e.c...@lmco.com> > Others may be able to chime in more, because I am no fortran expert, but > you probably will have to copy it into a contiguous block in memory. Working > with derived types is hard, especially if they are not uniform. MPI can > probably technically handle it, but the programming effort is harder. Are > your arrays all equal length, same type? > > > > Derek > > > > *From:* users-boun...@open-mpi.org [mailto:users-boun...@open-mpi.org] *On > Behalf Of *Vedran Coralic > *Sent:* Tuesday, May 04, 2010 3:25 PM > *To:* us...@open-mpi.org > *Subject:* [OMPI users] Fortran derived types > > > > Hello, > > > > In my Fortran 90 code I use several custom defined derived types. Amongst > them is a vector of arrays, i.e. v(:)%f(:,:,:). I am wondering what the > proper way of sending this data structure from one processor to another is. > Is the best way to just restructure the data by copying it into a vector and > sending that or is there a simpler way possible by defining an MPI derived > type that can handle it? > > > > I looked into the latter myself but so far, I have only found the solution > for a scalar fortran derived type and the methodology that was suggested in > that case did not seem naturally extensible to the vector case. > > > > > > Thanks any help you can give me! > > > > -- > Vedran Coralic > > _______________________________________________ > users mailing list > us...@open-mpi.org > http://www.open-mpi.org/mailman/listinfo.cgi/users > -- Vedran Coralic
