[R-sig-hpc] Recommended method for mutlithreaded, multinode in R?

[Bennet Fauber]

Are there standard combinations of packages that people use when they
want to use R on multiple nodes and have the R processes on those
nodes call threaded C++ libraries?

For example, if this were straight MPI, one might use a scheduler to
get 8 cores per node assigned to a job, but then only start two MPI
processes per node so that OpenMP for each of those process would have
access to 4 cores.

Most of the ways I've seen to get R going seem to assume that Rmpi
will be used, and that the master R process will be started and it
will in turn spawn one R process for each core in the job.

Has someone written a way to do this where one might do something like
this with OpenMPI ( or the equivalent with a different MPI)

    $ mpirun -pernode R hybrid.R

where the hybrid.R would be able to come up and know how to find its
tasks and do them?

Thanks in advance for any pointers anyone might have.