In any case Lp does not affect the result but only increases the speed, but as you know with NNUE it has no influence
Previously gave a little help with engines without NNUE
In any case Lp does not affect the result but only increases the speed, but as you know with NNUE it has no influence
Yeah, I know, but for experience files for example it shold increase performance a bit too since allocating LargePage memory for the experience data will speed up I/O operations during training for example. Or am I wrong here?Amos 4ever wrote: ↑Tue Jun 27, 2023 1:08 amIn any case Lp does not affect the result but only increases the speed, but as you know with NNUE it has no influence
Previously gave a little help with engines without NNUE
A good question
Yes you are right even if the risk with a very large set of games (above 1000) defragments the memory too much because the physical space for each large page must be contiguous. Allocating large pages under these conditions can significantly affect system performance.IbaiBuR wrote: ↑Tue Jun 27, 2023 1:26 amYeah, I know, but for experience files for example it shold increase performance a bit too since allocating LargePage memory for the experience data will speed up I/O operations during training for example. Or am I wrong here?Amos 4ever wrote: ↑Tue Jun 27, 2023 1:08 amIn any case Lp does not affect the result but only increases the speed, but as you know with NNUE it has no influence
Previously gave a little help with engines without NNUE
Code: Select all
Rank Name Elo +/- Games Score Draw
0 Depth4_Deeds -43 19 177 43.8% 85.3%
1 HCanFree Upd 120 127 9 66.7% 66.7%
2 Lotusblume 102 134 7 64.3% 71.4%
3 Mustafacanseven 79 102 9 61.1% 77.8%
4 OPTIMUS 3.1 79 102 9 61.1% 77.8%
5 ChessBot 170623 79 102 9 61.1% 77.8%
6 Chucaro 4 Upd2 70 92 10 60.0% 80.0%
7 Cute by Cevdet 44 82 8 56.3% 87.5%
8 NebulaRing178 44 82 8 56.3% 87.5%
9 KainNew 44 82 8 56.3% 87.5%
10 V by Kerveros 39 73 9 55.6% 88.9%
11 SkynetSCCT 10.1 39 73 9 55.6% 88.9%
12 CachoUPD2 39 73 9 55.6% 88.9%
13 OlisFish 220523 35 66 10 55.0% 90.0%
14 Agarta 35 66 10 55.0% 90.0%
15 Leschats 140623 35 122 10 55.0% 70.0%
16 Predator 2.3 0 0 9 50.0% 100.0%
17 StudentChess 0 0 8 50.0% 100.0%
18 Dara 150222 0 125 8 50.0% 75.0%
19 Goi 241222 0 0 9 50.0% 100.0%
20 OlisFish 040623 0 0 9 50.0% 100.0%
177 of 1000 games finished.