Hi Jeffrey, On Sunday, March 27, 2016 at 3:51:18 PM UTC+2, Jeffrey Sarnoff wrote: > > Assuming your handshaking and signal management is keeping information > available in some easy to discern and decode manner and you are not pushing > latency issues, Julia should be a good platform for that. >
I have no doubt of that. :-) Both in terms of execution speed, and other features (native coroutines, etc.) Julia is an excellent platform for this. I used to do this in Scala (using Akka actors), which was fine, but I believe it can be done even better in Julia (at least given certain requirements and boundary conditions). > Compilation time usually is not a concern -- and you can make your > package autoprecompile [...] pay attention to the general guidelines here > performance > tips <http://docs.julialang.org/en/release-0.4/manual/performance-tips/> > [...] and use the Devectorize package > <https://github.com/lindahua/Devectorize.jl> > Yes, I will certainly use precompilation as far as possible (well, not for actual user measurements scripts, etc. but for the device implementations), and I am familiar with the Julia performance tips and memory management recommendations. My question rather revolved around whether Julia's dispatch will be happy with O(1000) (or more) methods for a functions.
