[Computer-go] UEC cup 1st day result

[Hiroshi Yamashita]

There are 32 participants, include one guest GNU GO.
After 7 swiss round,

1st CGI 7-0
2nd CrazyStone 6-1
3rd Zen 6-1
4th Aya 6-1
5th Gonanza 5-2
6th Ray 5-2
7th DolBaram 5-2
8th darkforest 5-2

CrazyStone lost against Zen.
Zen lost against CGI.
DolBaram lost against Ray and CGI.
darkforest lost against Zen and CrazyStone.

Top 16 programs will play tommorow tournament.
All top 8 prigrams except DolBaram? use DCNN.

Thanks,
Hiroshi Yamashita

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[James Guo]

Show the official web site link?

---

From: Hiroshi Yamashita <y...@bd.mbn.or.jp>
To: compu...@computer-go.org
Sent: Saturday, March 19, 2016 9:32 PM
Subject: [Computer-go] UEC cup 1st day result

[Rémi Coulom]

http://jsb.cs.uec.ac.jp/~igo/eng/result1.html

["Ingo Althöfer"]

Hello Hiroshi,

thanks for the information.

WHo are the peolbe behind CGI Go?

Which hardware is used by the top participants in UEC cup?

Ingo.

> Gesendet: Samstag, 19. März 2016 um 14:32 Uhr
> Von: "Hiroshi Yamashita" <y...@bd.mbn.or.jp>
> An: compu...@computer-go.org
> Betreff: [Computer-go] UEC cup 1st day result

[Nick Wedd]

On 19 March 2016 at 14:40, "Ingo Althöfer" <3-Hirn...@gmx.de> wrote:

Hello Hiroshi,

thanks for the information.

WHo are the peolbe behind CGI Go?

According to http://computer-go.info/db/oprog.php?a=CGI :

Written by: Wu, I-Chen & Wu, Ti-Rong & Chen, Guan-Wen & Shih, Chung-Chin & Yeh, Kun-Hao

"CGI" stands for "CGI Go Intelligence", where CGI is the name of the laboratory of the team of developers.

It appeared in 2015, and is derived from Amigo.

Its web site: http://aigames.nctu.edu.tw/~icwu/CGI.html

Nick

--

Nick Wedd      map...@gmail.com

[Petr Baudis]

I think they are

https://github.com/CGI-LAB
http://www.aigames.nctu.edu.tw/

e.g. NiceGo, Amigo programs in the past.

I'm curious if they are mainly reimplementing the AlphaGo paper or doing
something else.

--
Petr Baudis
If you have good ideas, good data and fast computers,
you can do almost anything. -- Geoffrey Hinton

[Hiroshi Yamashita]

Hello Ingo,

As far as I know,
CrazyStone used a machine 24 cores, no GPUs.
Aya used a Amazon EC2 g2.8xlarge 16 cores, 4 GPUS.
Gonanza used a mahicne 16 cores with a GTX 980 ti.
Ray used a mahicne with a GPU.
Zen and CrazyStone uses DCNN without GPU.

I'll use 4 g2.8xlarge by root parallelization.
g2.8xlarge has 16 cores, but I use only 8 cores.
GPUs are slow, so creating node is not enough.
Too many playouts looks harm for tree result.
16 threads is weaker than 8 threads by my 1sec/move test.

Thanks,
Hiroshi Yamashita

----- Original Message -----
From: ""Ingo Althöfer"" <3-Hirn...@gmx.de>
To: <compu...@computer-go.org>

[Wu Ti-Rong]

We are updating our page: http://aigames.nctu.edu.tw/~icwu/CGI.html.

The current version in UEC is CGI 2.0 (or DeepCGI) as described in this page (also including the contributors).

The main contribution for Amigo (nothing to do with nicego) is to design a general MCTS framework that many game programs can directly use.

CGI 2.0 is still based on the framework.

> I'm curious if they are mainly reimplementing the AlphaGo paper or doing
> something else.

We developed DCNN from Dec 2015. That means that we have not read AlphaGo’s paper at that time yet.

But, we are still inspired by their paper.

The hardware used for UEC is 4 GPUs + 40 threads.

Best Regards,

Ti-Rong Wu

[Hiroshi Yamashita]

Today's tournament table is
https://twitter.com/math26/status/711190391098187776
(Thanks Shinoda-san).

Holmes got Originality award. Holmes does both Policy Network and playout
on 8 GPUs. Playouts are done by 256 mini-batches. 256 playouts are
executed simultaneously.