> Feedback is always welcome.

Very entertaining! :)

Bucketing is actually counter productive in your example. send already
takes care of limiting the active threads by using a thread pool, and
can ballance the work better than bucketing. When I run your code
unchanged it takes 2400ms, if I set the number of buckets equal to the
number of tasks, it runs in 2200ms.

However for this sort of problem I don't think agents are the right
way to model it, as you aren't really tracking a state. You can use
the inbuilt pmap for this sort of 'computation chunks' problem:
(doseq [r (pmap decode-md5 work-units)]
  (println r))
Executes in 1400ms for me.

Of course benchmarks are fickle things - my main point is that
asthetically agents are an unnecessary complication here. Of course
its still great as an example of how they work :)


Regards,
Tim.


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