Stefan Pohl Computer Chess

private website for chessengine-tests


Long thinking-time testing of LC Zero CUDA

 

Playing conditions:

 

Hardware: i7-6700HQ (2.6 GHz) Notebook (Quadcore), Windows 10 64bit, 12GB RAM

Fritzmark: 4 cores / 7 threads: 18.4 / 8825 (CPU-speed reduced to 99% (to switch off the Intel Turbo Boost))

GPU (used by LC Zero): Nvidia Cuda Gforce GTX 950M (4GB memory, grafics: 914 MHz, memory: 1.25 GHz). LC Zero CUDA calculates around 2600 rollouts/s in the starting position (measured with "go infinte"-command until depth 37), which is around 5x faster, than the normal LC Zero GPU version (!!).

Leela-Ratio: 1.37 (what is it? look here) (The Ratio-value of AlphaZero in the match vs. Stockfish 8 was 1.0, so a value of 1.37 is very close to that. Means, that my hardware- and tournament-configurations are very good and comparable to that match and its conditions! - Better GPUs (like GTX 1060-1080) have much higer Ratio-Values (6 or higher), which means a huge advantage for Leela, when playing vs. other engines and that leads to distorted results (Leela seems to be stronger, than it is).)

Hash: 2 GB per engine

GUI: Fritz 16 GUI (no draw, no resign)

Tablebases: 3-6 Syzygy for GUI (GUI ends all games, when only 6 pieces remain on the chessboard)

Openings: 4 moves opening book. Download it here

Ponder, Large Memory Pages: Off

Thinking time: 12'+5'' per game/engine (average game-duration: 30'-40', so around 40-45 games per day are played). Average thinking time in the middlegame is around 20'' per move.

 

LC Zero Github (information, download Networks and LC Zero Engine): here

Interesting information about the LC Zero project on ChessBase.com: here

See a step-by-step manual for using LC Zero (and LC Zero CUDA) in FritzGUI and ShredderGUI here

 

Current participants: LC Zero 180711 (CUDA 9.2) Net492 plays a gauntlet vs. 10 opponents:

Stockfish 4 (Elo 3035), Andscacs 0.88 (Elo 3027), Houdini 1.5a (Elo 3023), Komodo 5 (Elo 3023), Critter 1.6a (Elo 3017), Nirvanachess 2.4 (Elo 3011), Hannibal 1.7 (2972), Texel 1.07 (Elo 2969), Laser 1.5 (Elo 2964), Protector 1.9.0 (Elo 2961).

Average opponent CEGT Elo (40moves/20'): 3000

All opponent-engines running with default settings and in singlethread-mode, like in CEGT-testruns.

 

Latest update: 2018/07/15 - download all played games (2740 games): here

 

 

LC0 Cuda(180619) N 473 (size: 15x192)(date: 180707): 300 (+101,=128,- 71)
55.0 % (opponent-Elo: 3000) Elo-performance: 3035

 

LC0 Cuda(180619) N 452 (size: 15x192)(date: 180629): 320 (+101,=136,- 83)
52.8 % (opponent-Elo: 3000) Elo-performance: 3019

 

LC0 Cuda(180619) N 432 (size: 15x192)(date: 180622): 300 (+ 85,=138,- 77)
51.3 % (opponent-Elo: 3000) Elo-performance: 3009

 

LC0 Cuda(180602) N 374 (size: 15x192)(date: 180604): 300 (+ 86,=114,-100)
47.7 % (opponent-Elo: 3000) Elo-performance: 2984

 

LC0 Cuda(180530) N 359 (size: 15x192)(date: 180530): 300 (+ 79,=113,-108)
45.2 % (opponent-Elo: 3000) Elo-performance: 2967

 

LC0 Cuda(180521) N 322 (size: 15x192)(date: 180520): 300 (+ 68,=116,-116)
42.0 % (opponent-Elo: 3000) Elo-performance: 2944

 


lczero v0.8 (GPU) N 251 (size: 15x192)(date: 180505): 320 (+164,= 73,- 83)
62.7 % (opponent-Elo: 2524) Elo-performance: 2614


lczero v0.7 (GPU) N 214 (size: 10x128)(date: 180429): 300 (+157,= 85,- 58)
66.5 % (opponent-Elo: 2524) Elo-performance: 2643


lczero v0.7 (GPU) N 162 (size: 10x128)(date: 180421): 300 (+113,= 66,-121)
48.7 % (opponent-Elo: 2524) Elo-performance: 2515