Kristallweizen

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Kristallweizen, a Shogi engine, or more precisely a Shogi evaluation function by team Barrel house, a beer bar in front of the Okayama station , due to the developers around Seiji Shiba, Mitsunori Matsushita and Yasuhiro Tajima. Kristallweizen became runner-up at the WCSC29 in 2019, where it run in the Amazon Elastic Compute Cloud and applied multi pondering. Kristallweizen is a NNUE HalfKP-256x2-32-32 type of evaluation function, used within YaneuraOu's search, a Shogi adaptation of Stockfish's search. Further CSA available engines and libraries used to train and prepare Kristallweizen mentioned on the WCSC29 site were Apery, Tanuki, Qhapaq, Elmo, dlshogi, python-shogi and the Android Go Player No. 18. Kristallweizen may also used with Dolphin, also based on YaneuraOu's (version 4.82) search .

=Hefeweizen= Kristallweizen's forerunner, the more unfiltered Hefeweizen uses an Apery type of KPP/KKP indexed Piece-Square Tables approach, initially introduced by Bonanza, Hefeweizen won the WCSC28 in 2018, also on the Amazon Elastic Compute Cloud with multi ponder.

=Forum Posts=
 * The Stockfish of shogi by Larry Kaufman, CCC, January 07, 2020
 * Dolphin software by Larry Kaufman, SHOGI-L, February 02, 2020

=External Links=

Shogi Engine

 * GitHub - Tama4649/Kristallweizen: 第29回世界コンピュータ将棋選手権 準優勝のKristallweizenです.
 * ristallweizen – 第29回世界コンピュータ将棋選手権 (wcsc29)

Misc

 * Wheat beer from Wikipedia

=References= Up one Level