I am engaged in similar explorations and I too have found the Erlang language as a possible solution to scaling issues. I have been experimenting with the language for almost a month so my evidence below is not by any means conclusive. With that said in my opinion the language has a fatal flaw and that is data handling. According to the documentation and my brief experience there are certain instances where the data being passed to and from processes / functions is copied and not referenced. You can imagine the problems if you are manipulating a multigig data set. There are certain ways to handle bigger data sets (mnesia, et al.) but I have not fully explored these.

If large data handling is not a problem for you I believe you will be pleasantly surprised by Erlang. As you stated error handling and fault tolerance are mature within the language and the lightweight processes (300 bytes) are great for multicore machines, particularly heterogeneous machines. In addition to these great features Erlang has built-in functionality for distributed (e.g. across the network) communication. The distributed communication is also platform independent (e.g. Windows, Linux, etc) By combining fault-tolerance, distributed communication, and lightweight processes one could easily enable an application to adapt to multiple heterogeneous clusters, desktop computers, and grid environments without modifications.

I feel this language is very promising. It will simply take an individual or group to fully exploit the languages potential.

That is the end of my rant :)
Eric



H.Vidal, Jr. wrote:
Hello.

I have been exploring a range of technologies for parallel
applications, some production-level, some experimental.

I am curious if anyone on this list has done any work
with the language Erlang and/or considers it viable
for scientific apps. It seems to be quite mature, has
well developed 'process' based semantics with intrinsic message
passing, is light-weight for multi-process creation,
support application-level fault tolerance (quite applicable
for failures in long computations...)
and is production level, though not well known in the US.

Any comments?

hv
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