Stockfish Testing Queue

Pending - 1 tests 0.2 hrs

16-08-17 Vo lmrQS3 diff
LLR: -2.61 (-2.94,2.94) [0.00,5.00]
Total: 77557 W: 13956 L: 13739 D: 49862
sprt @ 10+0.1 th 1 Ver. 3

Active - 77 machines 270 cores 1.57M nps (424.65M total nps) 840 games/minute

Machine Cores MNps System Version Running on Last updated
teddybaer
7
2.03 Linux 4.9.0-3-amd64 59 scorePromo seconds ago
mibere
5
2.11 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
ctoks
15
1.50 Linux 4.10.0-28-generic 59 scorePromo seconds ago
ttruscott
7
1.16 Linux 4.9.0-3-amd64 59 scorePromo seconds ago
Pking_cda
3
2.17 Linux 4.4.0-59-generic 59 scorePromo seconds ago
JojoM
5
1.25 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
JojoM
5
1.25 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
fastgm
4
1.54 Linux 4.4.0-43-Microsoft 59 scorePromo seconds ago
brabos
7
1.33 Windows 10 59 scorePromo seconds ago
mibere
5
2.09 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
velislav
2
1.68 Linux 3.10.0-123.8.1.el7.x86_64 59 scorePromo seconds ago
mibere
5
2.11 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
vdbergh
5
1.51 Linux 2.6.32-696.1.1.el6.x86_64 59 scorePromo seconds ago
Andrew Grant
3
1.68 Linux 3.19.0-25-generic 59 scorePromo seconds ago
ctoks
3
2.41 Linux 4.4.0-43-Microsoft 59 scorePromo seconds ago
mibere
5
2.10 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
achambord
3
1.81 Linux 3.10.23-xxxx-std-ipv6-64 59 scorePromo seconds ago
mibere
5
2.11 Linux 3.16.0-4-amd64 59 scorePromo seconds ago
cw
3
2.12 Windows 8.1 59 scorePromo seconds ago
velislav
3
2.15 Linux 4.10.0-30-generic 59 scorePromo seconds ago
solarlight
3
2.74 Windows 10 59 scorePromo seconds ago
dzjp
3
2.19 Darwin 16.4.0 59 scorePromo seconds ago
Ronan_H
1
2.13 Windows 7 59 scorePromo 58 minutes ago
jromang
3
2.49 Linux 4.4.0-43-Microsoft 59 scorePromo seconds ago
hyperbolic.tom
3
1.24 Linux 4.8.0-59-generic 59 scorePromo seconds ago
mgrabiak
3
1.59 Windows 8 59 passed_pawns seconds ago
cw
5
1.62 Windows 7 59 passed_pawns seconds ago
mibere
5
2.09 Linux 3.16.0-4-amd64 59 passed_pawns seconds ago
cw
3
1.98 Windows 7 59 passed_pawns seconds ago
ctoks
3
1.13 Linux 4.4.0-43-Microsoft 59 passed_pawns seconds ago
bigpen0r
7
1.94 Windows 10 59 passed_pawns seconds ago
nordlandia
1
1.51 Windows 10 59 passed_pawns seconds ago
bcross
3
1.07 Windows 10 59 passed_pawns seconds ago
CSU_Dynasty
11
1.39 Windows 7 59 passed_pawns seconds ago
marrco
7
1.55 Windows 8.1 59 passed_pawns seconds ago
mibere
5
2.10 Linux 3.16.0-4-amd64 59 passed_pawns seconds ago
mibere
5
2.16 Linux 3.16.0-4-amd64 59 passed_pawns seconds ago
davar
3
1.99 Windows 8.1 59 passed_pawns seconds ago
mgrabiak
3
1.38 Windows 7 59 passed_pawns seconds ago
eva42
4
1.34 Windows 7 59 passed_pawns seconds ago
Thanar
3
1.23 Windows 8.1 59 passed_pawns seconds ago
homyur
2
2.44 Windows 7 59 passed_pawns seconds ago
Thanar
3
1.30 Windows 10 59 passed_pawns seconds ago
robal
2
2.35 Windows 10 59 passed_pawns seconds ago
TueRens
3
2.33 Windows 7 59 passed_pawns seconds ago
owl
3
0.00 Windows 10 59 lmrQSv2 seconds ago
racerschmacer
5
1.39 Windows 10 59 lmrQSv2 seconds ago
teddybaer
5
2.12 Linux 4.9.0-3-amd64 59 lmrQSv2 seconds ago
LuigiT
2
1.52 Windows 10 59 lmrQSv2 seconds ago
sunu
2
1.42 Linux 4.12.0-5.slh.2-aptosid-amd64 59 lmrQSv2 seconds ago
mhoram
2
0.75 Linux 3.16.0-4-amd64 59 lmrQSv2 seconds ago
Thanar
3
1.25 Windows 7 59 lmrQSv2 seconds ago
bcross
7
1.05 Windows 10 59 lmrQSv2 seconds ago
drabel
1
1.32 Windows 10 59 lmrQSv2 seconds ago
IgorLeMasson
2
0.95 Windows 10 59 lmrQSv2 seconds ago
Thanar
3
0.87 Windows 7 59 lmrQSv2 seconds ago
sqrt2
3
2.24 Linux 3.16.0-4-amd64 59 lmr_stats seconds ago
Isidor
3
2.63 Windows 8.1 59 lmr_stats seconds ago
biffhero
1
1.11 Linux 3.16.0-4-amd64 59 lmr_stats seconds ago
nordlandia
1
1.60 Windows 10 59 lmr_stats seconds ago
eva42
1
1.47 Linux 3.16.0-4-amd64 59 lmr_stats seconds ago
racerschmacer
1
1.84 Windows 10 59 lmr_stats seconds ago
Bobo1239
1
1.82 Linux 4.11.7-1-ARCH 59 lmr_stats seconds ago
JojoM
3
0.00 Windows 10 59 researchStatBonus4A seconds ago
sg4032
5
0.00 Linux 4.4.0-92-generic 59 researchStatBonus4A seconds ago
JojoM
5
0.00 Linux 3.16.0-4-amd64 59 researchStatBonus4A 2 minutes ago
leszek
7
1.09 Windows 7 59 researchStatBonus4A seconds ago
cw
1
2.16 Windows 8.1 59 researchStatBonus4A seconds ago
velislav
1
2.31 Linux 4.4.0-87-generic 59 comb_v seconds ago
gri
1
2.33 Linux 3.16.0-4-amd64 59 comb_v seconds ago
horst.prack
1
1.14 Linux 4.11.0-1-amd64 59 comb_v seconds ago
nordlandia
1
1.04 Windows 10 59 comb_v seconds ago
[AMD Users] NeoGen
1
0.97 Windows 7 59 comb_v seconds ago
eva42
1
0.88 Linux 3.16.0-4-amd64 59 comb_v seconds ago
geoffeg
1
0.79 Linux 3.10.102 59 comb_v seconds ago
lantonov
1
0.76 Windows 8 59 comb_v seconds ago
biffhero
1
1.08 Linux 3.16.0-4-amd64 59 stats16 2 minutes ago
16-08-17 An researchStatBonus4A diff
LLR: 0.58 (-2.94,2.94) [0.00,5.00]
Total: 45841 W: 7624 L: 7419 D: 30798
sprt @ 10+0.1 th 1 Add depth to the equation. (Park with prio -1 until researchStatBonus4 fails)
17-08-17 Vo lmrQSv2 diff
LLR: -0.40 (-2.94,2.94) [0.00,5.00]
Total: 23829 W: 4377 L: 4292 D: 15160
sprt @ 10+0.1 th 1 Take 2
17-08-17 El comb_v diff
LLR: -1.22 (-2.94,2.94) [0.00,4.00]
Total: 111751 W: 20242 L: 19927 D: 71582
sprt @ 10+0.1 th 1 Combination of 2 strong yellow patches
17-08-17 sg lmr_stats diff
LLR: -2.26 (-2.94,2.94) [0.00,5.00]
Total: 27091 W: 4926 L: 4906 D: 17259
sprt @ 10+0.1 th 1 Even less scaling (maximum different of 10% up to depth 16)
17-08-17 vd scorePromo diff
LLR: -2.29 (-2.94,2.94) [0.00,5.00]
Total: 14980 W: 2611 L: 2645 D: 9724
sprt @ 10+0.1 th 1 stc against #1201
17-08-17 sg passed_pawns diff
LLR: -2.53 (-2.94,2.94) [0.00,5.00]
Total: 17728 W: 3156 L: 3188 D: 11384
sprt @ 10+0.1 th 1 Only endgame bonus
17-08-17 mc stats16 diff
ELO: -9.40 +-10.3 (95%) LOS: 3.7%
Total: 1146 W: 135 L: 166 D: 845
2000 @ 60+0.6 th 1 Detect overflow in history (engine will crash!). Take 2 at LTC to have more time for stats to fill up.

Finished - 19396 tests

17-08-17 jo adaptive_pruning diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 1491 W: 225 L: 345 D: 921
sprt @ 10+0.1 th 1 First draft of adaptive pruning based on number of legal moves.
17-08-17 pb smp_pickbest3 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 20486 W: 3389 L: 3430 D: 13667
sprt @ 5+0.05 th 5 Take 2: Ignore selective depth, just replace completedDepth with nominalDepth (=effective used rootDepth for best move).
17-08-17 sg passed_pawns diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 5773 W: 966 L: 1067 D: 3740
sprt @ 10+0.1 th 1 Double bonus
17-08-17 sg update_stats_mcp diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 44946 W: 8134 L: 8068 D: 28744
sprt @ 10+0.1 th 1 depth < 5
17-08-17 sg passed_pawns diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 40818 W: 7449 L: 7400 D: 25969
sprt @ 10+0.1 th 1 Small additional passed pawn bonus in pawns.cpp to so also in lazy eval passed pawns are recognized.
17-08-17 sg lmr_stats diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 5224 W: 887 L: 990 D: 3347
sprt @ 10+0.1 th 1 Less scaling (Park with prio -1)
17-08-17 sg lmr_stats diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 3836 W: 608 L: 716 D: 2512
sprt @ 10+0.1 th 1 For LMR scale stat score by depth
17-08-17 An researchStatBonus4 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 15961 W: 1763 L: 1833 D: 12365
sprt @ 60+0.6 th 1 LTC
17-08-17 pr ps_sort_custom diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 24656 W: 4430 L: 4450 D: 15776
sprt @ 10+0.1 th 1 stage 2: dynamically calculate sort limit: 1024 - 15*depth*optimumTime
15-08-17 An researchStatBonus4 diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 151824 W: 25179 L: 24459 D: 102186
sprt @ 10+0.1 th 1 STC Take 4. Scale with R value from LMR instead of node depth.
16-08-17 Vo lmrQSv diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 11190 W: 1408 L: 1490 D: 8292
sprt @ 60+0.6 th 1 LTC: Different variant...
16-08-17 Vo lmrQSv diff
LLR: 3.56 (-2.94,2.94) [0.00,5.00]
Total: 40696 W: 7416 L: 7094 D: 26186
sprt @ 10+0.1 th 1 Different variant... (fixed patch)
16-08-17 sg lazy_eval2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19574 W: 3421 L: 3464 D: 12689
sprt @ 10+0.1 th 1 Same thresholds (1500)
16-08-17 pr ps_sort_zeros diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 16192 W: 2895 L: 2951 D: 10346
sprt @ 10+0.1 th 1 1024<<depth when depth < 5, otherwise sort all at 8-bit resolution.
16-08-17 sg lazy_eval2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 14001 W: 2474 L: 2540 D: 8987
sprt @ 10+0.1 th 1 Higher threshold (1350)
16-08-17 II pieceValues diff
LLR: -2.96 (-2.94,2.94) [0.00,4.00]
Total: 8798 W: 1526 L: 1653 D: 5619
sprt @ 10+0.1 th 1 Take 3.
16-08-17 pr ps_sort_zeros diff
LLR: -1.38 (-2.94,2.94) [0.00,5.00]
Total: 33280 W: 5849 L: 5769 D: 21662
sprt @ 10+0.1 th 1 limit = 1024<<depth, for depth < 5. otherwise, sort everything roughly.
16-08-17 sg lazy_eval2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 3823 W: 639 L: 748 D: 2436
sprt @ 10+0.1 th 1 Add second early lazy eval exit after mobility
16-08-17 pb smp_pickbest3 diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 19688 W: 2704 L: 2756 D: 14228
sprt @ 20+0.2 th 3 LTC: Trying to further improve pickbest-logic by comparing nominalDepth (=effective used rootDepth for best move) instead of completedDepth.
16-08-17 sg lazy_eval_scale2 diff
LLR: -2.94 (-2.94,2.94) [0.00,5.00]
Total: 9357 W: 1649 L: 1734 D: 5974
sprt @ 10+0.1 th 1 Scale lazy eval only in endgame.
16-08-17 sg lazy_eval_scale diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 4127 W: 666 L: 773 D: 2688
sprt @ 10+0.1 th 1 If lazy eval is triggered return instead the value after standard game phase formula (with scaling factor). The idea is that some drawisch endgames only detected with the scale factor which in the current formula would be ignored and possible overoptimistic evals are returned.
16-08-17 mc stats16 diff
LLR: -2.95 (-2.94,2.94) [-3.00,1.00]
Total: 70155 W: 12472 L: 12747 D: 44936
sprt @ 10+0.1 th 1 Detect overflow in history (engine will crash!)
16-08-17 pb smp_pickbest3 diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 4878 W: 940 L: 795 D: 3143
sprt @ 5+0.05 th 3 Trying to further improve pickbest-logic by comparing nominalDepth (=effective used rootDepth for best move) instead of completedDepth.
16-08-17 sg update_stats_mcp2 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19002 W: 2462 L: 2518 D: 14022
sprt @ 60+0.6 th 1 LTC: Only for depth < 8
14-08-17 Vo knownWin diff
LLR: -3.14 (-2.94,2.94) [0.00,4.00]
Total: 138913 W: 25034 L: 24730 D: 89149
sprt @ 10+0.1 th 1 stc
15-08-17 sg update_stats_mcp2 diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 102267 W: 18660 L: 18101 D: 65506
sprt @ 10+0.1 th 1 Only for depth < 8
16-08-17 Vo lmrQS2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 20400 W: 3607 L: 3646 D: 13147
sprt @ 10+0.1 th 1 Take 2...
13-08-17 Vo lmrTweak3b diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 139885 W: 17846 L: 17519 D: 104520
sprt @ 60+0.6 th 1 LTC
15-08-17 Vo lmrQS diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 19625 W: 2555 L: 2609 D: 14461
sprt @ 60+0.6 th 1 ltc
15-08-17 mb abdadaish3 diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 3309 W: 483 L: 593 D: 2233
sprt @ 5+0.05 th 7 ABDADAish search again. Does TT cutoff tests before deferring moves. Also fixes a movecount bug pointed out by Stefan.
15-08-17 mb abdadaish2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 4424 W: 648 L: 753 D: 3023
sprt @ 5+0.05 th 7 ABDADAish search, when depth >= 2.
15-08-17 sg update_stats_mcp diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 15679 W: 2011 L: 2078 D: 11590
sprt @ 60+0.6 th 1 LTC: Even more stats bonus
15-08-17 pr ps_sort_optimize diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 9258 W: 1609 L: 1695 D: 5954
sprt @ 10+0.1 th 1 testing convergence to +1k, -4K*depth.
15-08-17 An researchStatBonus3 diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 9186 W: 1503 L: 1590 D: 6093
sprt @ 10+0.1 th 1 STC Take 3. Last try using this idea of stat_bonus.
15-08-17 lb stats16 diff
LLR: 2.96 (-2.94,2.94) [0.00,4.00]
Total: 31489 W: 4532 L: 4295 D: 22662
sprt @ 40+0.4 th 1 16bit stats, 3rd test. Verify that we really have an elo gain with strong hash pressure. This time use longer time control, and larger hash to ensure that the hash size is big w.r.t. CPU cache sizes, and it's not an artificial effect that only works with microscopic hash sizes but doesn't scale.
15-08-17 mb abdadaish diff
LLR: -2.97 (-2.94,2.94) [0.00,5.00]
Total: 3693 W: 520 L: 628 D: 2545
sprt @ 5+0.05 th 7 ABDADAish search.
15-08-17 sg update_stats_mcp diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 27488 W: 5003 L: 4763 D: 17722
sprt @ 10+0.1 th 1 Even more stats bonus
15-08-17 Gu psqt2 diff
LLR: -2.94 (-2.94,2.94) [0.00,4.00]
Total: 20623 W: 3644 L: 3730 D: 13249
sprt @ 10+0.1 th 1 more bonuses for central squares for king
15-08-17 El lmr_variant` diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 18510 W: 3248 L: 3295 D: 11967
sprt @ 10+0.1 th 1 Take 2
15-08-17 Gu psqt diff
LLR: -2.95 (-2.94,2.94) [0.00,4.00]
Total: 6328 W: 1098 L: 1233 D: 3997
sprt @ 10+0.1 th 1 more bonuses for central squares for all pieces
14-08-17 sg update_stats_mcp diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 103369 W: 18636 L: 18324 D: 66409
sprt @ 10+0.1 th 1 More stats bonus if for best move moveCountPruning was true.
14-08-17 An researchStatBonus2 diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 45399 W: 7318 L: 7264 D: 30817
sprt @ 10+0.1 th 1 Take 2. Increase bonus to the best move, but do not increase malus for the remainder.
14-08-17 El lmr_variant diff
LLR: -2.95 (-2.94,2.94) [0.00,5.00]
Total: 64336 W: 10654 L: 10522 D: 43160
sprt @ 10+0.1 th 1 Increase/decrease reduction for big differences in stat values. Inspired by lmrTweak3b patch of VoyagerOne.
14-08-17 mc ord^ diff
LLR: -2.94 (-2.94,2.94) [-3.00,1.00]
Total: 40610 W: 4568 L: 4760 D: 31282
sprt @ 60+0.6 th 1 Unify captures scoring: take 2 (LTC)
14-08-17 mc fix diff
LLR: 2.95 (-2.94,2.94) [-4.00,0.00]
Total: 14436 W: 2304 L: 2196 D: 9936
sprt @ 10+0.1 th 3 Fix regression introduced by "Thread code reformat".
14-08-17 II pieceValues diff
LLR: -2.94 (-2.94,2.94) [0.00,4.00]
Total: 42322 W: 7623 L: 7635 D: 27064
sprt @ 10+0.1 th 1 Take 2.
14-08-17 An researchStatBonus diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 11335 W: 1838 L: 1916 D: 7581
sprt @ 10+0.1 th 1 Stat bonus if the best move had to be researched
14-08-17 Vo lmrQS diff
LLR: 2.95 (-2.94,2.94) [0.00,5.00]
Total: 14529 W: 2682 L: 2496 D: 9351
sprt @ 10+0.1 th 1 stc
14-08-17 mc fix diff
Pending...
sprt @ 10+0.1 th 3 Fix regression introduced by "Thread code reformat"
14-08-17 pr ps_sort_half diff
LLR: -2.96 (-2.94,2.94) [0.00,5.00]
Total: 5250 W: 898 L: 1001 D: 3351
sprt @ 10+0.1 th 1 optimizing number of moves per depth, instead of sort limit (depth).