Re: [computer-go] MoGo/professional challenge

2008-04-20 Thread James Guo

on 19x19 board, any thought on getting computer to win all the games with 
handicap 9(may be started at 13), then improve to handicap 8,7...?

Olivier Teytaud wrote:
>> Has the program become that much stronger on 9x9 recently?
>> (Compared to the version was trying?)
>
> *Parallelization: MPI ==> ~80% vs no mpi in 9x9 (for same number of
>  cores).
>
> *Monte-Carlo improvement ==> strongly depends on number of simulations
>and number of cores (as the multi-core reduces the influence of the
>computational overhead), ~55% I guess.
>
> *Openings: 58%, for games with constant time per move (should be higher
>for games with given total time), if we only keep the openings which
>are still efficient in the new version of the code. Human-based
>openings do not work :-(
>
> *less interestingly, we have a better hardware than at that time (more
>cores, more GHz).
>
> ==> no doubt that this mogo is by far stronger than the one at
> Amsterdam 07.
>
> The improvement is much higher in 19x19, but humans are really too
> strong in 19x19 :-)
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Re: [computer-go] MoGo/professional challenge

2008-03-22 Thread Olivier Teytaud

It was 2 cores 2.6GHz. (intel core2 duo).


sorry, I believed it was the tipi.
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Sylvain Gelly
It was 2 cores 2.6GHz. (intel core2 duo).

2008/3/21, Olivier Teytaud <[EMAIL PROTECTED]>:
> > What computing power did have that MoGo at its disposal?
>
>
> 4 cores, 2.4 GHz.
>
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Don Dailey

Olivier Teytaud wrote:
>> Would  you guess that mogo is 2 or 3 ranks stronger at 19x19 with all
>> this hardware?
>
> I just claim that mpi-mogo wins with very high probability against
> sequential-mogo in 19x19. But I'm afraid that the improvement is
> disappointing against humans.
Hopefully it is still much stronger in reality.   But I think your
opponent in this case is too strong to really get much of a sense of
what is happening.   

If Mogo really isn't improving against humans but is improving against
other Mogo's and this is a substantial effect,  it means something is
wrong with the algorithm - I would guess this would indicate that Mogo
is too selective.

I feel your pain - there is no easy way to test any of this without more
power yet.If you need a network of workstations to test a single
processor program,  then you need a several networks of workstations to
test a single network of workstations!

- Don


>
> I hope better improvements are possible thanks to the fact that
> parallelization makes heavier playouts computationnally less expensive
> - communication and concurrency for memory access becomes negligible
> with heavy playouts.
>
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

Would  you guess that mogo is 2 or 3 ranks stronger at 19x19 with all
this hardware?


I just claim that mpi-mogo wins with very high probability against 
sequential-mogo in 19x19. But I'm afraid that the improvement is 
disappointing against humans.


I hope better improvements are possible thanks to the fact that 
parallelization makes heavier playouts computationnally less expensive - 
communication and concurrency for memory access becomes negligible with 
heavy playouts.


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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

The million dollar question:   How well does Mogo scale on this number
of processors?Can you give us at least some kind of generalization?


unfortunately, using more than 10 nodes is probably not very very useful
in 9x9, for the moment - but we have not tested that sufficiently,
and we have not sufficiently tuned the parameters. A cluster is usefull 
for tuning a sequential algorithm, but we need a cluster of clusters to

tune a parallel algorithm. Clearly, 1000 nodes for launching 40 mogo of 25
machines would be very helpful :-)

In 19x19, we can use much more - but humans are really too strong. Winning 
97% against mogo is not sufficient for winning against humans who beat
mogo with probability 80%, and I'm also not sure that winning 97% against 
the old mogo is sufficient for winning against CrazyStone :-)


One hope is that thanks
to parallelization, heavy playouts come for free - this is 
clear in the multi-core parallelization, I guess that to some extent

multi-nodes parallelization has a similar effect for different reasons.
So, I believe in heavy playouts, whenever on sequential codes it might
be a bad idea :-)
Olivier
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Don Dailey
Would  you guess that mogo is 2 or 3 ranks stronger at 19x19 with all
this hardware?  

I would love to see a fair match,  perhaps a serious 2 or 3 dan player
at 19x19 to be able to say with some certainty that Mogo has reached the
dan levels. This assumes Mogo has reached this level of course.  
But if Mogo could play a few games against several 3 dan players and
hold even - it would be clear evidence that it has broken the Dan
barrier.  

Unfortunately, in order to get strong empirical evidence that it is at
least a certain level, it has to overachieve significantly unless a huge
number of games are played.

I'm really excited about this match,  but it will REALLY be exciting if
Mogo wins any games at all against such a strong player, even at 9x9.  


- Don




Olivier Teytaud wrote:
>> Has the program become that much stronger on 9x9 recently?
>> (Compared to the version was trying?)
>
> *Parallelization: MPI ==> ~80% vs no mpi in 9x9 (for same number of
>  cores).
>
> *Monte-Carlo improvement ==> strongly depends on number of simulations
>and number of cores (as the multi-core reduces the influence of the
>computational overhead), ~55% I guess.
>
> *Openings: 58%, for games with constant time per move (should be higher
>for games with given total time), if we only keep the openings which
>are still efficient in the new version of the code. Human-based
>openings do not work :-(
>
> *less interestingly, we have a better hardware than at that time (more
>cores, more GHz).
>
> ==> no doubt that this mogo is by far stronger than the one at
> Amsterdam 07.
>
> The improvement is much higher in 19x19, but humans are really too
> strong in 19x19 :-)
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

Has the program become that much stronger on 9x9 recently?
(Compared to the version was trying?)


*Parallelization: MPI ==> ~80% vs no mpi in 9x9 (for same number of
 cores).

*Monte-Carlo improvement ==> strongly depends on number of simulations
   and number of cores (as the multi-core reduces the influence of the
   computational overhead), ~55% I guess.

*Openings: 58%, for games with constant time per move (should be higher
   for games with given total time), if we only keep the openings which
   are still efficient in the new version of the code. Human-based
   openings do not work :-(

*less interestingly, we have a better hardware than at that time (more
   cores, more GHz).

==> no doubt that this mogo is by far stronger than the one at Amsterdam 07.

The improvement is much higher in 19x19, but humans are really too strong 
in 19x19 :-)

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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Petr Baudis
On Fri, Mar 21, 2008 at 08:35:25PM +0100, Olivier Teytaud wrote:
>> What computing power did have that MoGo at its disposal?
>
> 4 cores, 2.4 GHz.

Thank you! That also puts the strength of CzechBot into some
perspective.  :-)

Petr "Pasky" Baudis
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

What computing power did have that MoGo at its disposal?


4 cores, 2.4 GHz.
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Petr Baudis
On Fri, Mar 21, 2008 at 05:07:01PM +0100, Olivier Teytaud wrote:
>>  will this be with komi 7.5?
>
> Yes. Previous records against Guo Juan, as far
> as I know:
> - 1/3 wins with komi 7.5
> - 9/14 wins with komi 0.5 (mogo black,
>  i.e. komi in favor of mogo)

What computing power did have that MoGo at its disposal?

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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Don Dailey
The million dollar question:   How well does Mogo scale on this number
of processors?Can you give us at least some kind of generalization?  

My understanding is that on quad core machines you get most of  the
benefit by simply running parallel versions of the algorithm and sharing
the data structure - but there must be many difficulties scaling this up
to many machines over a network.

Can I assume the data structure (tree) is distributed among different
machines?

- Don




Olivier Teytaud wrote:
>
> For information on the mogo/pro challenge:
> - during preliminary tests, mogo has won 4/0 against a very high level
>   human; at that time we were just very very very happy :-)
> - some other humans, supposed to be weaker, have however
>   won some games at that time (before the nakade correction);
> - the Nakade weakness is currently assumed to be solved, but I'm not sure
>   of that - at least mogo solves the "old" known nakade situations and is
>   stronger than the old mogo; at that time we were happy again :-)
> - another improvement is that we currently have access to much
>   hardware than during tests above;
> - but, a human, supposed to be weaker (non professional level, 5Dan
>   however) has found some trick to win against mogo; this is not the
>   nakade, but this is seemingly stable, and I am just not able of
>   explaining how he can do that; he has shown me situations and says that
>   "in this kind of situations, mogo makes an error", but I just don't
>   understand the common point in these situations. If we understand
>   something we will post details here (at least the sgf files)...
> - in 9x9, the MPI (multi-machine) version of mogo wins with probability
>   80% against the non-MPI version. The speed-up is better in 19x19 and
>   will be detailed later, after extensive experiments - the focus was
>   on 9x9 until now due to the challenge.
> - once again, very strong improvements in front of old versions of mogo
>   leads to disappointing improvements against humans. However, I think
>   that the best 9x9 go programs (mogo and others) are currently difficult
>   opponents for high level players.
>
> Everything is under writing for publication and will be sent on this
> mailing list.
> Some technical details:
> - due to concurrency in memory access, heavier playouts come for free. If
>   playouts are heavier (computationally more expensive) the speed-up
>   becomes better. The nakade-problem involves heavier playouts, but the
>   computational overhead is almost canceled by the speed-up improvement,
>   as the speed-limit on 8-core machine is due to concurrency in memory
>   access (for modifying the tree) more than to computational cost.
> - (very) unfortunately, the opening books generated for mogo without
>   nakade are seemingly poor for mogo with nakade... this has destroyed
>   weeks of work.
>
> If mogo wins the challenge, I'd like to point out that this is a
> collective success of the computer-go mailing list - without gnugo,
> crazystone, cgos, kgs and so on, mogo would just not exist. Thanks to
> all of you for that. I regret that due to some restrictions,
> we have not published every detail before, but it was just a matter of
> weeks and I'm happy that everything will be published soon, and if we
> loose the challenge I hope someone else will win something similar
> soon :-)
> Olivier
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Robert Jasiek

Olivier Teytaud wrote:
> Previous records against Guo Juan, as far

as I know:
- 1/3 wins with komi 7.5
- 9/14 wins with komi 0.5 (mogo black,
 i.e. komi in favor of mogo)


Has the program become that much stronger on 9x9 recently?
(Compared to the version was trying?)

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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

 will this be with komi 7.5?


Yes. Previous records against Guo Juan, as far
as I know:
- 1/3 wins with komi 7.5
- 9/14 wins with komi 0.5 (mogo black,
 i.e. komi in favor of mogo)

Best regards,
Olivier
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Petr Baudis
  Hi,

On Fri, Mar 21, 2008 at 10:14:49AM +, Nick Wedd wrote:
> Saturday:
> 3/23/08 3:00 PM
> Game I (9x9)
> Game II 9x9
> Game III 9x9
> Played with 1.5 hours from the start of one round to the next

  will this be with komi 7.5?

Petr "Pasky" Baudis
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Nick Wedd
In message <[EMAIL PROTECTED]>, Hiroshi Yamashita 
<[EMAIL PROTECTED]> writes

This event sounds very interesting!


Saturday:
3/23/08 3:00 PM


Saturday:
3/22/08 3:00 PM

is right?


No, it is wrong, Saturday is 22nd.  That is a mistake by whoever put the 
message in "The Enclave" room.


http://paris2008.jeudego.org/ gives the date as "Samedi 22 mars 2008" 
and as "Saturday, March 22, 2008" so I assume that is correct.


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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Hiroshi Yamashita

Hi; it's saturday 22.


Thanks!

Regards,
Hiroshi Yamashita


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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

Saturday:
3/23/08 3:00 PM


Saturday:
3/22/08 3:00 PM

is right?


Hi; it's saturday 22.
Olivier

(stress++)
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Hiroshi Yamashita

This event sounds very interesting!


Saturday:
3/23/08 3:00 PM


Saturday:
3/22/08 3:00 PM

is right?

Regards,
Hiroshi Yamashita


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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud

How well does the nakade improvement perform on 13x13?


no idea on 13x13, but it does not work on 19x19 (seemingly,
perhaps we just need tuning...).

Also, it works only, in terms of success rate against the old
mogo, for sufficiently large number of simulations per move.

Olivier
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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Robert Jasiek

How well does the nakade improvement perform on 13x13?

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Re: [computer-go] MoGo/professional challenge

2008-03-21 Thread Olivier Teytaud


For information on the mogo/pro challenge:
- during preliminary tests, mogo has won 4/0 against a very high level
  human; at that time we were just very very very happy :-)
- some other humans, supposed to be weaker, have however
  won some games at that time (before the nakade correction);
- the Nakade weakness is currently assumed to be solved, but I'm not sure
  of that - at least mogo solves the "old" known nakade situations and is
  stronger than the old mogo; at that time we were happy again :-)
- another improvement is that we currently have access to much
  hardware than during tests above;
- but, a human, supposed to be weaker (non professional level, 5Dan
  however) has found some trick to win against mogo; this is not the
  nakade, but this is seemingly stable, and I am just not able of
  explaining how he can do that; he has shown me situations and says that
  "in this kind of situations, mogo makes an error", but I just don't
  understand the common point in these situations. If we understand
  something we will post details here (at least the sgf files)...
- in 9x9, the MPI (multi-machine) version of mogo wins with probability
  80% against the non-MPI version. The speed-up is better in 19x19 and
  will be detailed later, after extensive experiments - the focus was
  on 9x9 until now due to the challenge.
- once again, very strong improvements in front of old versions of mogo
  leads to disappointing improvements against humans. However, I think
  that the best 9x9 go programs (mogo and others) are currently difficult
  opponents for high level players.

Everything is under writing for publication and will be sent on this 
mailing list.

Some technical details:
- due to concurrency in memory access, heavier playouts come for free. If
  playouts are heavier (computationally more expensive) the speed-up
  becomes better. The nakade-problem involves heavier playouts, but the
  computational overhead is almost canceled by the speed-up improvement,
  as the speed-limit on 8-core machine is due to concurrency in memory
  access (for modifying the tree) more than to computational cost.
- (very) unfortunately, the opening books generated for mogo without
  nakade are seemingly poor for mogo with nakade... this has destroyed
  weeks of work.

If mogo wins the challenge, I'd like to point out that this is a 
collective success of the computer-go mailing list - without gnugo, 
crazystone, cgos, kgs and so on, mogo would just not exist. Thanks to all 
of you for that. I regret that due to some restrictions,
we have not published every detail before, but it was just a 
matter of weeks and I'm happy that everything will be published soon, and 
if we loose the challenge I hope someone else will win something similar 
soon :-)

Olivier
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[computer-go] MoGo/professional challenge

2008-03-21 Thread Nick Wedd
This Easter weekend, there will be a challenge between MoGo running on a 
very powerful system, and Catalin Taranu, 5-dan professional.


The following is from the info of "The Enclave" room on KGS.  It is 
confirmed by the page http://paris2008.jeudego.org/


<< quotation starts >>
A unique challenge will be held in parallel to the Paris Go tournament :

Mogo, currently one of the best Go programs in the world, will challenge 
the professional Go player Catalin Taranu 5P. Mogo has all the computing 
power of INRIA with hundreds of super-computers in a network.
The winner will be chosen at the end of 9x9 games after 3 rounds of 
2x30-minute sudden death. A 19x19 exhibition will be held on Sunday. 
Events are being followed live on KGS! They will be shown by 
'iagochall'.


Saturday:
3/23/08 3:00 PM
Game I (9x9)
Game II 9x9
Game III 9x9
Played with 1.5 hours from the start of one round to the next

Sunday:
3/24/08 3:00 PM
Exhibition game (19x19)

Monday:
3/25/08 11:00 PM
Debate with participants
<< quotation ends >>

The time zone quoted above is GMT;  that in the 
http://paris2008.jeudego.org/ page is French time, GMT+1.


Nick
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