585
edits
Changes
GPU
,→GPU in Computer 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
* NNUE training such as [https://github.com/glinscott/nnue-pytorch 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> using [[GPU]] resources to efficiently train networks
* 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
