Great! you have a profiler, use that. Find the hotspots, use YourKit to
find where the .cons is being called from, find things to optimize, and go
from there. This is exactly the same process I would use any optimizations
I attempted.

Timothy


On Wed, Oct 23, 2013 at 6:09 AM, Paul Butcher <p...@paulbutcher.com> wrote:

> On 23 Oct 2013, at 12:44, Timothy Baldridge <tbaldri...@gmail.com> wrote:
>
> That being said, the #1 rule of benchmarking with lein is don't benchmark
> with lein. The JVM lein spins up has a different set of goals (namely
> startup time). The best way to benchmark is to run the test several
> thousand times, from a jar created with lein uberjar.
>
>
> I'm well aware of the issues associated with micro-benchmarking on the
> JVM. Bear in mind that what I'm doing isn't micro-benchmarking. I have a
> Scala program that runs in 2.5 minutes, which when re-implemented in
> Clojure doesn't finish after being run overnight. I.e. the Clojure is (at
> least) 2 orders of magnitude slower than the Scala.
>
> I'd love to be able to run it just once - running it thousands of times
> with its current performance would require *years*.
>
> I've now got it recompiled as an uberjar and I'm running it with 12G RAM
> (-Xms12G -Xmx12G). So far, it's been running for 12 minutes (i.e. 6x longer
> than the Scala version takes to complete) and YourKit shows me that it's
> used less than 300MB RAM (i.e. the vast majority of the 12G is unused).
>
> YourKit also shows me that it's still the case that it's spending 99% of
> its time in PersistentHashSet.cons.
>
> I completely understand that playing around with pre-compilation and JVM
> settings will make a difference to the observed performance. But not two
> orders of magnitude difference, surely?
>
> It strikes me that there's clearly something that I'm missing in the
> Clojure implementation that's making a dramatic difference to performance.
> I'd love some help determining what that something is.
>
> --
> paul.butcher->msgCount++
>
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>
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-- 
“One of the main causes of the fall of the Roman Empire was that–lacking
zero–they had no way to indicate successful termination of their C
programs.”
(Robert Firth)

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