Have a look at ForkAndReturn [1,2]. ForkAndReturn implements a
couple of methods that simplify running a block of code in a
subprocess. The result (Ruby object or exception) of the block
will be available in the parent process.
Here's an example:
[1, 2, 3, 4].concurrent_collect do |object|
2*object
end # ===> [2, 4, 6, 8]
This runs each "2*object" in a seperate process. Hopefully, the
processes are spread over all available CPU's.
Threads are often a patch over bad architecture. You can also try this:
foobars = (0..5).map{ Foobar.new("somestuff") }
loop do
foobars.each{|foobar| foobar.run_one_slice }
end
Whatever foobar does, it must use some loop statement. If you put the loop on the outside, you will have a better architecture. Each call to run_one_slice performs one foobar activity. Foobar must store its state as instance variables, between each call to .run_one_slice. That forces Foobar to be more object-oriented, and more event-driven.
If you start with a good architecture, and measure it, you will know if its performance is adequate, or if it needs more help. Only then you add threads. And threads work best with event-driven architectures, so adding the thread last is always better than adding it first. Premature optimization is the root of all evil.