Hundred and seventeenth KGS Computer Go Tournament

Sunday November 29th, 2015

These results also appear on an official KGS page.

Rules

format	12-round Swiss
board size	19×19
rules	Chinese
komi	7½
time	14 minutes plus 10/30s

Times

The first round started at 08:00 UTC.

Result table

Place	Name	cross-table	Wins	SOS	SoDOS	Notes
abaku	Crazy	AyaMC	WeakB	Raybo	NiceG	MCark	Orego	gnugo	ManyF
1	abakus	X	^W1²_R ^B1⁸_R ^W1¹²_R	^B0⁷_R ^W1⁹_R	^B1⁶_R	^B1³_R ^W1¹¹_R	^B1⁴_R ^W1¹⁰_R	^B1⁵_R	^B1¹_R			11	71	63	Winner
2	CrazyStone	^B0²_R ^W0⁸_R ^B0¹²_R	X	^W0⁵_R ^B1¹⁰_R	^B1³_R ^W1¹¹_R	^B1⁴_R ^W1⁹_R	^W1⁷_R	^B1¹_R	^W1⁶_R			8	84	43
3	AyaMC	^W1⁷_R ^B0⁹_R	^B1⁵_R ^W0¹⁰_R	X	^B0⁸_R	^B1⁶_R	^B1³_R ^W1¹¹_R	^W1⁴_R ^B1¹²_R	^B1²_R	^W0¹_T		8	66	38
4	WeakBot	^W0⁶_R	^W0³_R ^B0¹¹_R	^W1⁸_R	X	^B0²_R ^W1⁷_R	^W1⁵_R	^B1⁹_R ^W1¹⁰_R	^B1⁴_R ^W1¹²_R		^W1¹_F	8	57	24
5	Raybot	^W0³_R ^B0¹¹_R	^W0⁴_R ^B0⁹_R	^W0⁶_R	^W1²_R ^B0⁷_R	X	^B1¹_R ^W1¹²_R	^B1⁸_R	^W1⁵_R ^B1¹⁰_R			6	74	20
6	NiceGo19N	^W0⁴_R ^B0¹⁰_R	^B0⁷_R	^W0³_R ^B0¹¹_R	^B0⁵_R	^W0¹_R ^B0¹²_R	X	^W1²_R ^B1⁶_R	^B1⁸_R ^W1⁹_R			4	72	6
7	MCark	^W0⁵_R	^W0¹_R	^B0⁴_R ^W0¹²_R	^W0⁹_R ^B0¹⁰_R	^W0⁸_R	^B0²_R ^W0⁶_R	X	^W1³_R ^B1⁷_R ^W0¹¹_R			2	68	2
8	Orego32	^W0¹_R	^B0⁶_R	^W0²_R	^W0⁴_R ^B0¹²_R	^B0⁵_R ^W0¹⁰_R	^W0⁸_R ^B0⁹_R	^B0³_R ^W0⁷_R ^B1¹¹_R	X			1	69	2
9	gnugo3pt8			^B1¹_T						X		1	8	8	Quit before round 2
10	ManyFaces1				^B0¹_F						X	0	8	0	Quit before round 2

Place

Name

cross-table

Wins

SOS

SoDOS

Notes

abaku

Crazy

AyaMC

WeakB

Raybo

NiceG

MCark

Orego

gnugo

ManyF

abakus

^W1²_R ^B1⁸_R ^W1¹²_R

^B0⁷_R ^W1⁹_R

^B1⁶_R

^B1³_R ^W1¹¹_R

^B1⁴_R ^W1¹⁰_R

^B1⁵_R

^B1¹_R

Winner

CrazyStone

^B0²_R ^W0⁸_R ^B0¹²_R

^W0⁵_R ^B1¹⁰_R

^B1³_R ^W1¹¹_R

^B1⁴_R ^W1⁹_R

^W1⁷_R

^B1¹_R

^W1⁶_R

AyaMC

^W1⁷_R ^B0⁹_R

^B1⁵_R ^W0¹⁰_R

^B0⁸_R

^B1⁶_R

^B1³_R ^W1¹¹_R

^W1⁴_R ^B1¹²_R

^B1²_R

^W0¹_T

WeakBot

^W0⁶_R

^W0³_R ^B0¹¹_R

^W1⁸_R

^B0²_R ^W1⁷_R

^W1⁵_R

^B1⁹_R ^W1¹⁰_R

^B1⁴_R ^W1¹²_R

^W1¹_F

Raybot

^W0³_R ^B0¹¹_R

^W0⁴_R ^B0⁹_R

^W0⁶_R

^W1²_R ^B0⁷_R

^B1¹_R ^W1¹²_R

^B1⁸_R

^W1⁵_R ^B1¹⁰_R

NiceGo19N

^W0⁴_R ^B0¹⁰_R

^B0⁷_R

^W0³_R ^B0¹¹_R

^B0⁵_R

^W0¹_R ^B0¹²_R

^W1²_R ^B1⁶_R

^B1⁸_R ^W1⁹_R

MCark

^W0⁵_R

^W0¹_R

^B0⁴_R ^W0¹²_R

^W0⁹_R ^B0¹⁰_R

^W0⁸_R

^B0²_R ^W0⁶_R

^W1³_R ^B1⁷_R ^W0¹¹_R

Orego32

^W0¹_R

^B0⁶_R

^W0²_R

^W0⁴_R ^B0¹²_R

^B0⁵_R ^W0¹⁰_R

^W0⁸_R ^B0⁹_R

^B0³_R ^W0⁷_R ^B1¹¹_R

gnugo3pt8

^B1¹_T

Quit before round 2

ManyFaces1

^B0¹_F

Quit before round 2

Excluding forfeited games, Black won 25 games and White won 23.

Players

Ten players registered. We welcomed two new players to these events:

Ray, by Yuki Kobayashi, playing as Raybot

matilda, by Gon�alo Mendes Ferreira

Unfortunately, matilda had to withdraw.

With nine players remaining, I entered GNU Go, to make the numbers even.

Many Faces of Go entered, but did not connect to KGS before the end of round 1, so I removed it and GNU Go, leaving eight players.

Results

In round 1, AyaMC had a problem with its connection, and lost in time to GNU Go (which was playing as gnugo3pt8).

In round 7, abakus lost its only game, to AyaMC.

Annual points

Players receive points for the 2015 Annual KGS Bot Championship as follows:

abakus	8
Crazy Stone	4
AyaMC	3
HiraBot	3
Ray	1

Details of processor numbers, power, etc.

abakus: abakus, running on 5 nodes each with two Intel Xeon E5-2670, 2.6GHz and 64 GByte main memory (80 cores total).
AyaMC: Aya, MC version, running on CoreDuo 1.83GHz 2core, 2 Threads for rounds 1 and 2, and on a Xeon E5-2666 v3 2.90GHz, 18 cores, 36 threads, Amazon EC2, c4.8xlarge from round 3.
CrazyStone: Crazy Stone, running on Amazon ec2 c4.8xlarge server instance (xeon, 18 cores, 36 threads, 2.9GHz).
MCark: MC_ark, running on a Xeon E5-2450 2.10GHz 8-core HT on*2cpu + GPU(G200eR2).
NiceGo19N: oakfoam, running on an i7-4790K / GTX-970.
Orego32: Orego, running on an instance in the Google Compute Engine cloud (type n1-highcpu-32, which has "32 virtual CPUs and 28.8 GB of memory".) The machine runs Centos 7.
Raybot: Ray running on a dual Xeon E5-2687W v2 (total 16 cores) with 64GB memory
WeakBot: HiraBot running on an i7-4790k 4 cores 8 threads. HiraBot use neural network data.