Mixing coarrays and scalapack

[Ray_C_1]

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[reinhold-bader]

Although you might have not intended so, you have asked two rather different questions.

The answer to your first question is "it is likely to work, but not guaranteed". The reason for this is that current implementations treat a Fortran image as being essentially the same as an MPI task (a minor difference being that the image number differs from the MPI task index by one). Some coarray implementations even do the MPI_Init call for you :-). You typically should be able to use coarray communication and MPI calls in a single code base, provided that you do not program interactions between effective MPI synchronization and coarray synchronizations that cause deadlocks, and of course that you otherwise obey the rules of both paradigms to avoid race conditions. Note that neither the MPI standard has any awareness of coarray semantics, nor the Fortran standard any (direct) awareness of MPI (with Fortran 2015, there is some improvement wrt conforming MPI implementability, but still no text on the interaction of coarrays with MPI).

However, the specific setup you want to do for ScaLAPACK use is not possible. That library nowadays uses MPI under the hoods, and does not expiicitly support coarrays at all inside the library layer. Also, the programming model does not support remote procedure calls which presumably would also be necessary to achieve what you seem to want. If you wish to use ScaLAPACK, you need to invoke the setup routines as well as the calculational procedures collectively on all images of your program (if you set up MPI subcommunicators you can of course also work on subsets). The SYNC ALL invocations will only be needed if you update coarrays (e.g., if used as actual arguments) inside the code block that does the ScaLAPACK calls, and subsequently need to transfer these coarray data to remote images.

Regards

Reinhold