High-level MPI library

Hi all,

    I have created MLton bindings for a (small) subset of the MPI API,
which are pretty low-level and using them in Standard ML can be rather
awkward at times. The library is available here:
https://github.com/iraikov/mpi-mlton

   I am wondering if anyone has worked on or is interested in a high-level
library for parallel distributed memory computing that is a bit more
convenient to use in a functional programming setting. I realize there is
Concurrent ML and various libraries for distributed computing, but so far I
have been unable to locate a worthy alternative to the MPI collective
operations (e.g. scatter and gather) which is where MPI really shines.

   Some examples of high-level features that I would consider convenient
would include e.g. automatic and efficient flattening of tree/list data
structures onto the numerical array types supported by MPI, a functional
interface for defining process topologies, more elegant ways for invoking
scatter/gather/reduce, and perhaps some driver functions for common
parallel computing patterns. So if anybody is working on or thinking about
such things, some thoughts and opinions would be much appreciated. Thanks,

   -Ivan Raikov

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