FYI we had a bit of a discussion about this at a meetup in Amherst MA 
yesterday, and while I'm not sufficiently on top of the JVM or system issues to 
have briefed everyone on all of the details there has been a little of followup 
since the discussion, including results of some different experiments by Chas 
Emerick, at: 
http://www.meetup.com/Functional-Programming-Connoisseurs/messages/boards/thread/30946382

 -Lee

On Jan 30, 2013, at 8:39 PM, Marshall Bockrath-Vandegrift wrote:
> 
> Apologies for my very-slow reply here.  I keep thinking that I’ll have
> more time to look into this issue, and keep having other things
> requiring my attention.  And on top of that, I’ve temporarily lost the
> many-way AMD system I was using as a test-bed.
> 
> I very much want to see if I can get my hands on an Intel system to
> compare to.  My AMD system is in theory 32-way – two physical CPUs, each
> with 16 cores.  However, Linux reports (via /proc/cpuinfo) the cores in
> groups of 8 (“cpu cores : 8” etc).  And something very strange happens
> when extending parallelism beyond 8-way...  I ran several experiments
> using a version of your whole-application benchmark I modified to
> control the level of parallelism.  At parallelism 9+, the real time it
> takes to complete the benchmark hardly budges, but the user/CPU time
> increases linearly with the level of parallelism!  As far as I can tell,
> multi-processor AMD *is* a NUMA architecture, which might potentially
> explain things.  But enabling the JVM NUMA options doesn’t seem to
> affect the benchmark.
> 
> I think next steps are two-fold: (1) examine parallelism vs real & CPU
> time on an Intel system, and (2) attempt to reproduce the observed
> behavior in pure Java.  I’m keeping my fingers crossed that I’ll have
> some time to look at this more soon, but I’m honestly not very hopeful.
> 
> In the mean time, I hope you’ve managed to exploit multi-process
> parallelism to run more efficiently?
> 
> -Marshall

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