Hello,

In one of the latest version (21042009), there are moments where the cpu
usage goes down, sometimes to ~50%. This wasn't happening before.
With 'lost time' do you refer to this?

Joaquin


2009/4/29 Christian Anthon <[email protected]>

> I have timed some simple evaluations of the opening positions using various
> compile settings. The following times is reported for each of the compile
> settings.
>
> A. 3x 4ply evaluation (clearing the cache in between with a command that is
> not in the present code)
> B. 3x clearing the cache without any evaluation
> C 1000x 2ply evaluation (clearing the cache in between)
> D 1000x clearing the cache
>
> The lost time is from locking and unlocking the cache, I believe.
>
> threaded
> 146.307531
> 0.011090
> 104.297596
> 3.803742
>
> non-threaded
> 138.310104
> 0.010516
> 92.876412
> 3.614214
>
> threaded-sigmoidSSE
> 139.664481
> 0.011588
> 95.686871
> 3.824007
>
> non-threaded-sigmoidSSE
> 131.947215
> 0.010806
> 87.237141
> 3.605156
>
> from timeit import *
>
> gnubg.command("set gnubgid  4HPwATDgc/ABMA:cAkNAAAAAAAA")
>
> gnubg.command("set evaluation cube evaluation plies 4")
> t = Timer('gnubg.command("clear cache"); gnubg.command("eval")', 'import
> gnubg')
> print "%f" % t.timeit(3)
>
> t = Timer('gnubg.command("clear cache")', 'import gnubg')
> print "%f" % t.timeit(3)
>
> gnubg.command("set evaluation cube evaluation plies 2")
> t = Timer('gnubg.command("clear cache"); gnubg.command("eval")', 'import
> gnubg')
> print "%f" % t.timeit(1000)
>
> t = Timer('gnubg.command("clear cache")', 'import gnubg')
> print "%f" % t.timeit(1000)
>
>
>
>
> On Wed, Apr 29, 2009 at 2:38 PM, Massimiliano Maini <
> [email protected]> wrote:
>
>>
>>
>> Jonathan Kinsey <[email protected]> wrote on 29/04/2009 12:54:26:
>>
>> > Massimiliano Maini wrote:
>> > >
>> > > Christian Anthon wrote on 29/04/2009 10:23:59:
>> > >
>> > >> On Wed, Apr 29, 2009 at 10:04 AM, Massimiliano Maini
>> > >> [email protected]> wrote:
>> > >>
>> > >> [email protected] wrote on
>> > >> 28/04/2009 22:01:23:
>> > >>
>> > >> MaX build with single thread : ~32400 eval/s
>> > >> MaX build with MT code, 1 thread : ~24800 eval/s
>> > >> MaX build with MT code, 2 threads : ~34600 eval/s
>> > >>
>> > >> However, a quick rollout (648 trials, expert, full, 2 top moves of
>> > > postion
>> > >> t60BYCButycAAA:cAnnAWAASAAA) has shown the following:
>> > >>
>> > >> MaX build with single thread : 2m04s
>> > >> MaX build with MT code, 1 thread : 2m04s
>> > >> MaX build with MT code, 2 threads : 1m48s
>> > >>
>> > >> I'm much more worried about the last two numbers here. MT code
>> > >> should give close to twice the speed, or we are doing something
>> wrong.
>> > >
>> > > Here at office the PC is single core, don't know if this explains the
>> > > "poor" result. I'll check at home (dual core).
>> >
>> > You did say the pc was "1 core, 2 threads", does this mean it's a
>> > hyper-threaded
>> > machine? That would match a small increase for 2 threads,
>>
>> Yes, 1 core with hyper-thread. I wasn't really surprised by the small
>> increase.
>>
>> > note also that the 1
>> > thread test will be using 2 threads (one for the gui and one for the
>> > evaluations
>> > - the gui thread will only be redrawing the screen).
>>
>> I run the calibrate on the command line version and the rollout in the gui
>> one. Not sure it's a big deal however ... just a progress bar and a few
>> numbers
>> updated from time to time ...
>>
>> > The best test would be on a simple single core/processor machine, these
>> are
>> > getting quite rare, all the pcs I see are multi-core now.
>>
>> MaX.
>
>
>
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