Some kind of RPC exists for D?

[Bienlein via Digitalmars-d-learn]

> What data load profile do you expect? Vibe is tuned to handle 
> thousands simultaneous incoming light requests (milliseconds), 
> while distributed computing works better with exclusive heavy 
> requests, at least minutes of work worth, BOINC uses hours 
> worth work items.

Communication will be bi-directional as some thread sends 
computation along with the data to be computed to some remote 
thread and somewhen waits for the answer. The amount of data will 
be relatively small, that is only consisting of numbers to be 
processed creating some result, because Julia is geared towards 
scientific computing. In that way there is little data compared 
to enterprise computing.

How often remote computations are initiated depends to a large 
extend on the user. So that is hard to say. But from the typical 
use case scenario it will be anything but few large messages to 
go across the wire. I might have to do a bit more research 
looking at Julia to get a better understanding. But it's all 
about performance, e.g. crunching as many numbers as quickly as 
possible. So I will have to stick to a high-performance solution 
anyway. For that reason it looks more like Swift or ZeroMQ. 
Depends a lot which one can do marshalling and unmarshalling of 
the function invocation and the data more transparently than the 
other.