CorChess by Ivan Ivec

[EzioMagnifico]

New Version : March 25, 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

Latest Version : April 01, 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

New Version : April 12 , 2022 .
Thanks to the Author Ivan Ivac

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

Latest Version : April 16 , 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

New Version : April 17, 2022 .

Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

Latest Version : April 19, 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

New Version : April 22, 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[timetraveller]

http://chess.ultimaiq.net/stockfish.html

[EzioMagnifico]

Latest Version : May 15 , 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[peterm]

Again with the 128 positions given here

http://outskirts.altervista.org/forum/viewtopic.php?p=45712&view=single_post#p45712

and again with the same 30 threads of 16x3GHz CPU and 3070ti GPU, 6men Syzygys and 15"/position, evaluated with EloStatTS from Frank Schubert:

Code: Select all

    Program                                    Elo   +/-  Matches  Score   Av.Op.   S.Pos.   MST1    MST2   RIndex

  1 StockfishMZ170522avx2-ME-12-PE+12        : 3591    7   2527    65.0 %   3483    95/128    3.1s    6.2s   0.72
  2 CorChess3170522                          : 3588    7   2490    64.8 %   3482    95/128    2.9s    6.0s   0.63
  3 Crystal251221                            : 3588    7   2547    64.4 %   3485    93/128    2.8s    6.1s   0.62
  4 Swordfish15.1-avx2                       : 3585    7   2478    64.3 %   3483    92/128    2.9s    6.3s   0.69
  5 ShashChess22-GoldDigger+Tal              : 3584    7   2540    64.2 %   3483    95/128    3.3s    6.3s   0.64
  6 CorChess3230422                          : 3581    7   2451    63.8 %   3483    92/128    2.9s    6.3s   0.63
  7 Stockfish15                              : 3571    7   2357    62.2 %   3485    87/128    3.0s    6.8s   0.62
  8 Stockfish140522                          : 3571    7   2371    62.0 %   3486    87/128    3.4s    7.1s   0.61
  9 Ceres0.97RC3-ap-mish-2000000             : 3566    7   2354    61.3 %   3486    83/128    3.1s    7.3s   0.62
 10 Ceres0.97RC3-783257                      : 3562    8   2237    60.3 %   3489    77/128    2.5s    7.5s   0.62
 11 Lc0v0.30.0-dev-mish-2000000              : 3551    8   2185    58.7 %   3491    74/128    2.7s    7.9s   0.59
 12 Lc0v0.30.0-dev-783272                    : 3549    8   2164    58.2 %   3491    71/128    2.4s    8.0s   0.60
 13 Dragon3byKomodoChess64-bit               : 3537    8   2185    56.1 %   3494    72/128    3.8s    8.7s   0.50
 14 Koivisto8.8                              : 3446    9   1720    40.2 %   3515    37/128    3.6s   11.7s   0.30
 15 Rebel15x2                                : 3442    9   1715    39.4 %   3516    35/128    3.1s   11.7s   0.27
 16 RubiChess20220223(bmi2)                  : 3431    9   1765    38.0 %   3516    38/128    5.8s   12.3s   0.19
 17 Houdini4Prox64                           : 3420   10   1698    35.8 %   3522    30/128    4.0s   12.4s   0.17
 18 Stockfish1164POPCNT                      : 3413    9   1702    35.0 %   3521    32/128    5.6s   12.7s   0.14
 19 Seer2.5.0                                : 3402   10   1620    33.2 %   3524    27/128    4.6s   12.8s   0.18
 20 ZappaMexicoIIx64                         : 3390   10   1563    30.8 %   3530    20/128    2.2s   13.0s   0.20
 21 DeepHIARCS15.0                           : 3373   10   1546    28.8 %   3530    19/128    4.1s   13.4s   0.16
 22 rofChade3.0BMI2AVX2                      : 3371    9   1564    28.9 %   3527    21/128    5.3s   13.4s   0.13
 23 Fritz15                                  : 3366   10   1541    27.9 %   3532    18/128    4.8s   13.6s   0.15
 24 Fritz17Popcnt                            : 3355   10   1524    26.5 %   3533    15/128    3.8s   13.7s   0.13
 25 DeepShredder13x64                        : 3347   10   1530    25.7 %   3532    17/128    6.3s   13.8s   0.08
 26 Wasp5.50                                 : 3345   10   1502    25.3 %   3534    14/128    4.3s   13.8s   0.13



MST1  : Mean solution time (solved positions only)
MST2  : Mean solution time (solved and unsolved positions)
RIndex: Score according to solution time ranking for each position

Progress- test of CorChess3 170522 (nr.2 in list) to 230422 (nr.6). Latest version uses latest green SF-NNUE, the one before had latest but one green net.
Only upper half of the list is somewhat reliable (not transferable to other tests of course, but statistically reliable per se) lower half is mainly meant to make error bar of upper one lower. EloStatTSD doen't primarily count numbers of solved positions but matches each single time of solution of each single engine to each corresponding other ones, as for positions solved as well as for unsolved ones. That way evaluation works just as it does with matches of eng-eng-games, e.g. with EloStat, which ist from the same author (Frank Schubert) regards
Peter.

[EzioMagnifico]

New Version : May 29 , 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[ChessMan]

My compilation of CorChess 300522 x32-x64
With "Tactical" UCI option.

Download: https://pixeldrain.com/u/b9xJN3Qy

[EzioMagnifico]

Latest Version : June 02 , 2022 .
Thanks to the Author Ivan Ivec

Download : http://chess.ultimaiq.net/stockfish.html

[ChessMan]

My compilation of CorChess 050622 x32-x64
With "Tactical" UCI option

Download: https://pixeldrain.com/u/a2vNHfsS

[Peter Grayson]

My compilation of CorChess 050622 x32-x64
With "Tactical" UCI option

Download: https://pixeldrain.com/u/a2vNHfsS

The benefit of having an engine compilation specific for the CPU was seen here. Selecting the sse3 no popcount compile compared to the Ultimaig Net base Corchess engine release running on my old quad Q9550. Using a single core + 1024 Mb hash, the Ultimaig Net compile gave 282 kN/s compared to the Chessman specific compile that produced 382 kN/s = 35% speed gain.

As well as the speed gain, the output of the Chessman compile was also a little different and combined with the speed improvement gave a position solving improvement of 19/20 versus 15/20 for the Ultimaig compile running a partiular test set.

Does go to show the difference a CPU matched compile can make!

Peter