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JohnS wrote: ↑

Fri Jan 01, 2021 9:48 am

Is there a link to github thanks.

https://github.com/dje-dev/Ceres

Its what you get by running bench from the command line, which is classical and (hybrid) NNUE on alternate positions. stockfish bench 64 8 20 default depth NNUE gives 9818973 (8 cores using just hybrid NNUE) stockfish bench 64 8 20 default depth classical gives 16097762 which is as fast as my 8-cor...

Benchmarks on a MacBook Air 16GB 8-core GPU Stockfish compiled for M1 Apple Silicon, commit f9595828eb7e5e970b0be3ee5f84ddd726845523 Wed 11 Nov bench 2408119 bench 64 1 20 2270034 bench 64 2 20 4503092 bench 64 4 20 9069926 bench 64 6 20 10820178 bench 64 8 20 12438598 Thank you George! Is that the...

But Apple M1 has neural engine processors. Maybe NNUE can be optimized for it?

As far as I have observed chess engine speeds for 2 decades I noticed that it benefits a lot from larger L1 cache size. For the record, our mainstream x86 CPUs have 32kb/32kb L1 cache while this new apple M1 has gigantic 192kb/128kb!

Gerd Isenberg wrote: ↑

Wed Nov 18, 2020 4:58 pm

That seems to be Helium. Surely it will be faster for NNUE than ARM general purpose - whether it is better than NEON - per Watt, yes.

For instance Huawei was talking about Dual Neural Processing in their ARM CPU while Qualcomm talks about Hexagon NN. I believe it's more than just Helium.

What do the latest ARM CPU with AI acceleration offer in comparison? ARM has Advanced SIMD aka NEON , a combined 64- and 128-bit SIMD instruction set. But NEON is old. I heard that AI acceleration in recent ARM flagships especially in Huawei's Kirin are being showcased with far leading benchmarks i...

What do the latest ARM CPU with AI acceleration offer in comparison?

The problem is that if the handicap is high enough to give humans a good chance (like knight odds or even two pawns), the stronger side almost always wins in self play so it can't really learn how to trick the opponent. If the stronger side always wins then let it prefer shortest victory vs longer ...

Hi Larry, Is there any chance of NNUE specialized for losing positions for use in handicap matches?