I did some 19x19 scalability experiments with pachi, written by Petr Baudis.
This was run on one machine using 15 out of 16 2.2 GHz cores, against
Fuego using 100K playouts on 15 cores of another machine. The results
are encouraging. Pachi's strength continues scaling linearly (in elo)
with each
Pachi uses 7.5 points per handicap stone
Pachi is wrong. See the first paragraph of There is a relationship
in http://senseis.xmp.net/?Komi/valueOfFirstMove
The rest of the page is quite confusing but but the value of one move
at the beginning of a game is definitely twice the komi.
A move early
,
wouldn't that force to bot to play more efficient, sharp moves ?
What I'm afraid of, though, is that after a while ( when the bot has caught
up enough) it might start again to play slack again ?
Matthieu
*---Message original---*
*De :* Jean-loup Gailly jl...@gailly.net
*Date :* 11/02
).
Jean-loup
2010/2/11 Robert Jasiek jas...@snafu.de
Jean-loup Gailly wrote:
I would write the proof as follows.
Assume x is the value of one move
Yours is not a proof because what follows is not just a single move of
value x but a game tree of moves of various sizes, which need not even
or the strong version of pachi.
Done.
Jean-loup
2010/2/16 David Fotland fotl...@smart-games.com
My old MPI code had a scaling bug. Performance scaling (playouts per
second) was linear, but the strength did not scale well, and 64 cores was
weaker than 32 cores. I have a 16 core cluster of
The strong pachi is really strong! What hardware is it running on?
Can you say how it differs from the vanilla pachi?
It's exactly the same software. The only difference is that is
running on 23 cores. I am amazed at how well MCTS scales on 19x19.
Looking forward to desktop machines with
What is your 23 core hardware?
It's actually 24 cores but I'm leaving 1 core free for the OS and other
background tasks. The chips are commercially available, search for
6 cores or 24 cores on your favorite search engine.
Jean-loup
___
computer-go
It would be interesting to know how well Pachi scales on KGS against
ranked humans vs a single core version.
Yes it would be interesting but it's a bit difficult to run this experiment.
The software and its parameters is constantly changing. We can't
create a new kgs bot for every new version
Got it :-). Thanks.
Le 12 janv. 2015 14:59, Nick Wedd mapr...@gmail.com a écrit :
Congratulations to Zen19S, undefeated winner of yesterday's 19x19 KGS
bot tournament!
My report is http://www.weddslist.com/kgs/past/109/index.html
As usual, I hope you will report any errors or comments to me.
