Re: [Quantlib-dev] OpenMP - current usage in ql

[<ja...@fr...>]

Hi, 
Have you tried to use only the 4 physical threads of your cpu? I dont use OpenMP but I use boost threads and hyperthreading does very weird things; one is that over 4 threads (in this case) scaling stops being linear, which makes sense. Luigi, your 2 cpus are physical, right?
just a shot.
Best


----- Original Message -----
> Yes, the timing might be off. I suspect that the Boost timer is
> reporting the total CPU time, that is, the sum of the actual time per
> each CPU. On my box, if I run the BermudanSwaption example with
> OpenMP
> enabled, it outputs:
> 
> Run completed in 2 m 35 s
> 
> but if I call it through "time", I get an output like:
> 
> real    1m19.767s
> user    2m34.183s
> sys     0m0.538s
> 
> that is, total CPU time 2m34s, but real time 1m19s. Being the
> untrusting individual that I am, I also timed it with a stopwatch.
> The
> elapsed time is actually 1m19s :)
> 
> This said, I still see a little slowdown in the test cases Peter
> listed. My times are:
> 
> AmericanOptionTest: disabled 2.4s, enabled 3.4s (real time)
> AsianOptionTest: disabled 10.6s, enabled 10.4s
> BarrierOptionTest: disabled 4.9s, enabled 6.1s
> DividendOptionTest: disabled 5.1s, enabled 6.5s
> FdHestonTest: disabled 73.4s, enabled 76.8s
> FdmLinearOpTest: disabled 11.4s, enabled 11.6s
> 
> Not much, but a bit slower anyway. I've only got 2 CPUs though (and I
> compiled with -O2). Peter, what do you get on your 8 CPUs if you run
> the cases via "time"?
> 
> Luigi
> 
> 
> 
> 
> 
> 
> 
> On Sun, Jun 15, 2014 at 3:40 PM, Joseph Wang <joe...@gm...>
> wrote:
> >
> > That's quite odd since OpenMP should not be causing such huge
> > slowdowns.
> >
> > Since by default the items are not complied, I'd rather keep the
> > pragma's
> > there.
> >
> > Also is there any possibilities that the timing code is off?
> >
> > ------------------------------------------------------------------------------
> > HPCC Systems Open Source Big Data Platform from LexisNexis Risk
> > Solutions
> > Find What Matters Most in Your Big Data with HPCC Systems
> > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> > Leverages Graph Analysis for Fast Processing & Easy Data
> > Exploration
> > http://p.sf.net/sfu/hpccsystems
> > _______________________________________________
> > QuantLib-dev mailing list
> > Qua...@li...
> > https://lists.sourceforge.net/lists/listinfo/quantlib-dev
> >
> 
> 
> 
> --
> <https://implementingquantlib.blogspot.com>
> <https://twitter.com/lballabio>
> 
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk
> Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
> QuantLib-dev mailing list
> Qua...@li...
> https://lists.sourceforge.net/lists/listinfo/quantlib-dev
>