As others have pointed out using per-thread java.util.Random objects
is probably the best way to go in this particular case. However, I'm
curious if the following code could give any speed gain on your
machine:

(defn rand-seq [] (repeatedly #(. Math (random))))

(def rand-seq-ref (ref (rand-seq)))
(nth @rand-seq-ref 100) ;; pre-cache random values; evaluate it every some time
;;btw, how to do it automatically?

(defn next-rand-val []
   (dosync (commute rand-seq-ref next) (first @rand-seq-ref)))

user=> (next-random-val)
0.5558267606843464
user=> (next-random-val)
0.32353157456467474

Cheers,
Andrzej

On Fri, Mar 26, 2010 at 11:35 AM, Lee Spector <[email protected]> wrote:
>
> I'm trying to track down the reason that I sometimes see a lot of concurrency 
> in my system (up to 1200% CPU utilization on a dual quadcore mac that also 
> has some kind of hyperthreading, allegedly allowing a maximum of 1600% CPU) 
> while other times it gets stuck at around 100-200%. My system (a genetic 
> programming system) has a *lot* of randomness in it, so it's hard to repeat 
> runs and get a firm handle on what's going on.
>
> But after a bunch of testing I'm beginning to suspect that it might be the 
> random number generator itself (clojure-core/rand-int in this case, which 
> calls (. Math (random))). This seems at least somewhat plausible to me 
> because I guess that the underlying Java random method must be accessing and 
> updating a random number generator state, and so this would be a concurrency 
> bottleneck. So if I'm in a condition in which lots of concurrent threads are 
> all calling rand-int a lot then all of the accesses to the state have to be 
> serialized and my concurrency suffers (a lot).
>
> Does this sound plausible to you? If so, is there a straightforward way to 
> avoid it? It is not important to me that the random numbers being generated 
> in different threads be generated from the same generator or 
> coordinated/seeded in any way. I just need lots of numbers that are "random 
> enough." I guess I could roll my own random number generator(s) and either 
> have a lot of them with independent states or maybe even make them stateless 
> (always generating numbers by scrambling the clock?). But I would hope there 
> would be something simpler.
>
> Thanks,
>
>  -Lee
>
> --
> Lee Spector, Professor of Computer Science
> School of Cognitive Science, Hampshire College
> 893 West Street, Amherst, MA 01002-3359
> [email protected], http://hampshire.edu/lspector/
> Phone: 413-559-5352, Fax: 413-559-5438
>
> Check out Genetic Programming and Evolvable Machines:
> http://www.springer.com/10710 - http://gpemjournal.blogspot.com/

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