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GPU
,→GPU in Computer Chess
=GPU in Computer Chess=
There are some in main approaches four ways how to using use a GPU for chess:
* As an accelerator in [[Leela_Chess_Zero|Lc0]]: run a neural network for position evaluation on GPU
* Offload the search in [[Zeta|Zeta]]: run a parallel game tree search with move generation and position evaluation on GPU
* As a hybrid in [http://www.talkchess.com/forum3/viewtopic.php?t=64983&start=4#p729152 perft_gpu]: expand the game tree to a certain degree on CPU and offload to GPU to compute the sub-tree
* Neural network training such as [https://github.com/glinscott/nnue-pytorch Stockfish NNUE trainer in Pytorch]<ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=75724 Pytorch NNUE training] by [[Gary Linscott]], [[CCC]], November 08, 2020</ref> or [https://github.com/LeelaChessZero/lczero-training Lc0 TensorFlow Training], using GPU resources to efficiently train networks
=GPU Chess Engines=
