Chess engine: Bagatur 3.7
Bagatur - UCI chess engines, Rating CEDR= 3167
Author: Krasimir I. Topchiyski
Bagatur 3.7 download
github:https://github.com/bagaturchess/Bagatur/releases/tag/v3.7
v.3.7
- SMP version:
- On https://tcec-chess.com/ S24, there is still NPS sclaing issue, because the achieved value is 5-10M nps and the expected is 30M nps.
- The issue is reproducable on CentOS Stream release 8 and Java OpenJDK 1.8.0.
- The tests show that with up to 64 cores (128 logical porcessors) it still achieves more stable and deeper depth, for a fixed time, with only 1 Transposition Table, although the NPS is between 3 and 6 times smaller.
- A new UCI option is introduced for SMP version - CountTranspositionTables.
- On CentOS Stream release 8 and Java OpenJDK 1.8.0, with 8 Transposition Tables the SMP search achieves similar depth and time, so there is sense to set it not to be 1, only when there is a NPS sclaing issue. In such cases it could be set up to SQRT(THREADS_COUNT) Transposition Tables.
- More details about the tests of the SMP version, could be found here: https://github.com/bagaturchess/Bagatur/tree/master/Sources/Search#readme
- Bug fixing and optimizations inside the bagaturchess.search.impl.rootsearch.parallel.SearchersInfo class.
- SMP version: Code clean up and simplification
- Single Core version
- Randomize the non-attacking moves, before moves' ordering and sorting, in order to benefit from the search's undeterminism and minimize error.
Individual statistics: Bagatur 3.3 - 396 games CEDR (+ 92,=117,-187), 38.0 %
Critter 1.6a : 2 (+ 0,= 1,- 1), 25.0 %
Houdini 1.5a : 2 (+ 0,= 0,- 2), 0.0 %
Baron 3.44.1 : 2 (+ 0,= 0,- 2), 0.0 %
Ruydos 1.1.11 : 2 (+ 0,= 0,- 2), 0.0 %
Delocto 0.61n : 2 (+ 0,= 1,- 1), 25.0 %
Betsabe II 1.96 : 4 (+ 1,= 0,- 3), 25.0 %
Fridolin 3.10 : 2 (+ 0,= 1,- 1), 25.0 %
Caligula 0.9g : 4 (+ 2,= 0,- 2), 50.0 %
Fritz 17 : 2 (+ 0,= 2,- 0), 50.0 %
N2 0.4 : 2 (+ 0,= 2,- 0), 50.0 %
Asymptote 0.8 : 6 (+ 1,= 0,- 5), 16.7 %
Stockfish 15 : 2 (+ 0,= 0,- 2), 0.0 %
Fisherov 0.98k : 4 (+ 0,= 1,- 3), 12.5 %
Lc0 0.29.0-rc0 : 2 (+ 0,= 0,- 2), 0.0 %
Devel 4.0.2.3 : 6 (+ 0,= 2,- 4), 16.7 %
Cheese 3.0.1 : 2 (+ 0,= 0,- 2), 0.0 %
Pigeon 1.5.1 fix : 2 (+ 2,= 0,- 0), 100.0 %
Lozza 2.2 : 2 (+ 0,= 0,- 2), 0.0 %
Wasp 5.50 : 4 (+ 0,= 0,- 4), 0.0 %
Komodo 13.02 : 6 (+ 0,= 3,- 3), 25.0 %
Arasan 23.3 : 2 (+ 0,= 2,- 0), 50.0 %
Barbarossa 0.6.0 : 4 (+ 2,= 1,- 1), 62.5 %
Hiarcs 15.5 : 4 (+ 0,= 2,- 2), 25.0 %
Caligula 1.0b : 10 (+ 4,= 6,- 0), 70.0 %
Lynx 0.10.0 : 4 (+ 4,= 0,- 0), 100.0 %
OliThink 5.10.1 : 2 (+ 0,= 0,- 2), 0.0 %
Mantissa 3.3.0 : 2 (+ 0,= 0,- 2), 0.0 %
K2 0.99 : 2 (+ 1,= 1,- 0), 75.0 %
CT800 1.43 : 4 (+ 2,= 1,- 1), 62.5 %
Rodent NNUE 1.0 : 6 (+ 3,= 2,- 1), 66.7 %
Loki 3.5.0 : 2 (+ 1,= 1,- 0), 75.0 %
Stash 33.0 : 6 (+ 0,= 3,- 3), 25.0 %
Avalanche 0.3a : 2 (+ 0,= 2,- 0), 50.0 %
ChessKISS 1.8 : 6 (+ 6,= 0,- 0), 100.0 %
Cinnamon 2.4 : 4 (+ 2,= 0,- 2), 50.0 %
Gunborg 1.65 : 4 (+ 4,= 0,- 0), 100.0 %
RofChade 3.0 : 2 (+ 0,= 1,- 1), 25.0 %
Rebel 15x2 : 8 (+ 0,= 6,- 2), 37.5 %
StockfishMZ 170522 : 2 (+ 0,= 0,- 2), 0.0 %
Nalwald 15 : 4 (+ 0,= 0,- 4), 0.0 %
Coiled 1.1 : 2 (+ 0,= 0,- 2), 0.0 %
Devre 2.0 : 2 (+ 0,= 0,- 2), 0.0 %
Dumb 1.9 : 2 (+ 0,= 0,- 2), 0.0 %
Benjamin 1.1 : 2 (+ 0,= 0,- 2), 0.0 %
Colossus 2022a : 14 (+ 8,= 6,- 0), 78.6 %
Smallbrain 1.2 : 2 (+ 2,= 0,- 0), 100.0 %
CorChess 290522 : 4 (+ 0,= 0,- 4), 0.0 %
Fisherov chess monk 1.1 : 6 (+ 0,= 1,- 5), 8.3 %
Stockfish 290522 Ivec : 4 (+ 0,= 2,- 2), 25.0 %
Eggnog 3.0 : 2 (+ 0,= 2,- 0), 50.0 %
Vafra 3.3.2 : 8 (+ 1,= 3,- 4), 31.2 %
Leorik 2.1 : 14 (+ 9,= 5,- 0), 82.1 %
Uralochka 3.35a : 2 (+ 0,= 2,- 0), 50.0 %
Stockfish 290522 : 6 (+ 0,= 0,- 6), 0.0 %
Journeyman 1.4 : 2 (+ 2,= 0,- 0), 100.0 %
Berserk 9-dev3 : 8 (+ 0,= 6,- 2), 37.5 %
Koivisto 8.9 : 6 (+ 0,= 6,- 0), 50.0 %
Fisherov chess monk : 2 (+ 0,= 0,- 2), 0.0 %
Kayra 1.4 : 4 (+ 0,= 2,- 2), 25.0 %
Deep Shredder 13 : 2 (+ 0,= 1,- 1), 25.0 %
Fritz 15 : 8 (+ 0,= 0,- 8), 0.0 %
Fat Titz 110122 64 BMI2 NUMA : 2 (+ 0,= 2,- 0), 50.0 %
Igel 3.1.0 : 20 (+ 0,= 8,- 12), 20.0 %
Counter 4.1 : 19 (+ 2,= 7,- 10), 28.9 %
Journeyman 1.7 : 14 (+ 9,= 2,- 3), 71.4 %
Mayhem 7.3 : 14 (+ 8,= 6,- 0), 78.6 %
Horowitz 2.2 : 10 (+ 6,= 3,- 1), 75.0 %
Uralochka 3.36c : 10 (+ 0,= 2,- 8), 10.0 %
Amoeba 3.4 : 4 (+ 0,= 0,- 4), 0.0 %
DanaSah 9.0 : 4 (+ 0,= 0,- 4), 0.0 %
Combusken 2.0.0 : 6 (+ 0,= 2,- 4), 16.7 %
Chareth_010-64 : 4 (+ 4,= 0,- 0), 100.0 %
MrBob 1.1.0 : 2 (+ 0,= 1,- 1), 25.0 %
Slowchess 2.9 : 2 (+ 0,= 0,- 2), 0.0 %
Minic 3.22 : 2 (+ 0,= 0,- 2), 0.0 %
Blue Marlin 15.2a : 4 (+ 0,= 1,- 3), 12.5 %
Eubos 2.12 : 2 (+ 2,= 0,- 0), 100.0 %
Journeyman 2.0 : 2 (+ 1,= 1,- 0), 75.0 %
Koivisto 8.13 : 4 (+ 0,= 0,- 4), 0.0 %
Marvin 6.0.0 : 4 (+ 0,= 0,- 4), 0.0 %
Vafra 12 Cfish : 2 (+ 0,= 1,- 1), 25.0 %
Protej 0.6.3 : 3 (+ 1,= 1,- 1), 50.0 %
Stockfish 070622 : 4 (+ 0,= 0,- 4), 0.0 %
Knightx 3.3 : 4 (+ 2,= 2,- 0), 75.0 %
CorChess 080622 : 2 (+ 0,= 0,- 2), 0.0 %
Crystal 060622 : 2 (+ 0,= 0,- 2), 0.0 %
EMAN 8.03 : 2 (+ 0,= 0,- 2), 0.0 %
Anka 0.6.3 : 2 (+ 0,= 1,- 1), 25.0 %
Francesca 0.31a : 2 (+ 0,= 0,- 2), 0.0 %
NiCim 3.4.1 : 2 (+ 0,= 0,- 2), 0.0 %
Bagatur 3.7 download
github:https://github.com/bagaturchess/Bagatur/releases/tag/v3.7
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