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Support VNNI on 256bit vectors

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due to downclocking on current chips (tested up to cascade lake)
supporting avx512 and vnni512, it is better to use avx2 or vnni256
in multithreaded (in particular hyperthreaded) engine use.
In single threaded use, the picture is different.

gcc compilation for vnni256 requires a toolchain for gcc >= 9.

closes https://github.com/official-stockfish/Stockfish/pull/3038

No functional change
This commit is contained in:
mstembera
2020-08-20 16:59:27 -07:00
committed by Joost VandeVondele
parent e453f09f06
commit 701b2427bd
3 changed files with 42 additions and 11 deletions
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.travis.yml
+4 -2
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@@ -77,8 +77,10 @@ script:
# compile only for some more advanced architectures (might not run in travis)
- make clean && make -j2 ARCH=x86-64-avx2 build
- make clean && make -j2 ARCH=x86-64-bmi2 build
# needs gcc 10 to compile
- if [[ "$COMPILER" != "g++-8" ]]; then make clean && make -j2 ARCH=x86-64-avx512 build; fi
- make clean && make -j2 ARCH=x86-64-avx512 build
- make clean && make -j2 ARCH=x86-64-vnni512 build
# requires gcc 9 or higher
- if [[ "$COMPILER" != "g++-8" ]]; make clean && make -j2 ARCH=x86-64-vnni256 build; fi
#
# Check perft and reproducible search