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    <p>If you want to learn more about the <code>remote</code> package, a.k.a CloudHaskell, see <a href="http://research.microsoft.com/en-us/um/people/simonpj/papers/parallel/remote.pdf">the paper</a> as well as Jeff Epstein's <a href="http://www.cl.cam.ac.uk/~jee36/thesis.pdf">thesis</a>. It aims to provide precisely the actor abstraction you want, but as you say it is in the early stages. There is active discussion regarding improvements on the <a href="https://groups.google.com/group/parallel-haskell">parallel-haskell mailing list</a>, so if you have specific needs that <code>remote</code> doesn't provide, we'd be happy for you to jump in and help us decide its future directions.</p> <p>More mature but lower-level than <code>remote</code> is the <a href="http://hackage.haskell.org/package/haskell-mpi"><code>haskell-mpi</code></a> package. If you stick to the <code>Simple</code> interface, messages can be sent containing arbitrary <a href="http://hackage.haskell.org/packages/archive/cereal/0.3.4.0/doc/html/Data-Serialize.html"><code>Serialize</code></a> instances, but the abstraction is still way lower than <code>remote</code>.</p> <p>There are some experimental systems, such as described in Implementing a High-level Distributed-Memory Parallel Haskell in Haskell (Patrick Maier and Phil Trinder, IFL 2011, can't find a pdf online). It blends a <a href="http://hackage.haskell.org/package/monad-par"><code>monad-par</code></a> approach of deterministic dataflow parallelism with a limited ability to make the I-structures serializable over the network. These sorts of abstraction have promise for doing distributed computation, but since the focus is on computing purely-functional values rather than providing Erlang-style processes, they probably wouldn't be a good fit for your application.</p> <p>Also, for completeness, I should point out the Haskell wiki page on <a href="http://www.haskell.org/haskellwiki/GHC/CloudAndHPCHaskell">cloud and HPC Haskell</a>, which covers what I describe here, as well as the subsection on <a href="http://www.haskell.org/haskellwiki/Applications_and_libraries/Concurrency_and_parallelism#Distributed_Haskell">distributed Haskell</a>, which seems in need of a refresh. </p>
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    1. COThe thesis and paper for CloudHaskell use a lot of terminology and "keywords" (function names, data types) which are different from the CloudHaskell/remote package. Someone writing a more up-to-date explanation/tutorial would be *very* helpful!
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    2. COApparently CloudHaskell is being re-implemented: https://github.com/haskell-distributed/distributed-process
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