Gigantua
oneDNN
Gigantua | oneDNN | |
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3 | 5 | |
103 | 3,461 | |
- | 1.7% | |
0.0 | 10.0 | |
almost 2 years ago | 4 days ago | |
C++ | C++ | |
- | Apache License 2.0 |
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Gigantua
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Anyone who's worked on a chess game before?
There's some ridiculous optimizations that chess engines could do (here's one article that was posted a while ago on some programming forum - https://www.codeproject.com/Articles/5313417/Worlds-fastest-Bitboard-Chess-Movegenerator).
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2 Billion Moves per Second and Thread Movegenrator - Gigantua - Sourcecode Release!
Article: https://www.codeproject.com/Articles/5313417/Worlds-fastest-Bitboard-Chess-Movegenerator Sourcecode: https://github.com/Gigantua/Gigantua
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Worlds Fastest Chess Move Generator - 2 Billion Moves/s per thread!
Anyways I dont want the post be too long. C++ is an awesome language for performance! - Please read the Article and Source if you are interested! Article: https://www.codeproject.com/Articles/5313417/Worlds-fastest-Bitboard-Chess-Movegenerator Sourcecode: https://github.com/Gigantua/Gigantua
oneDNN
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Blaze: A High Performance C++ Math library
If you are talking about non-small matrix multiplication in MKL, is now in opensource as a part of oneDNN. It literally has exactly the same code, as in MKL (you can see this by inspecting constants or doing high-precision benchmarks).
For small matmul there is libxsmm. It may take tremendous efforts make something faster than oneDNN and libxsmm, as jit-based approach of https://github.com/oneapi-src/oneDNN/blob/main/src/gpu/jit/g... is too flexible: if someone finds a better sequence, oneDNN can reuse it without major change of design.
But MKL is not limited to matmul, I understand it...
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Arc & Deep Learning Frameworks
For completeness, it looks like this question was posted to the oneDNN GitHub repo and the response was to stay tune for updates.
- Keeping POWER relevant in the open source world
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Intel oneDNN 2.5 released with experimental RISC-V support
From the release note of oneDNN v2.5:
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Is gpu hardware tied to cpu ISA ?
Intel are trying to support their oneAPI compute framework on Arm and IBM POWER and z/Architecture (s390x) but since they ever released only a single discrete GPU with the Xe architecture it's unclear whether they'll support Xe GPU compute on e.g. ARM https://github.com/oneapi-src/oneDNN
What are some alternatives?
Realtime-OpenCV-Chess - ♔ Chess-playing with Open-CV [Human vs AI (Stockfish engine)]
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
chessCAMO - chessCAMO is a newly proposed chess engine with a built-in variant that stands for Calculations Always Make Opportunities and was inspired by the very popular chess variant Crazyhouse. The "CAMO" portion comes from the idea that in this variant a player can sacrifice making a move to replace one of their pieces from the "piece reservoir".
CTranslate2 - Fast inference engine for Transformer models
pawn - An experimental UCI chess engine
oneDPL - oneAPI DPC++ Library (oneDPL) https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/dpc-library.html
Winter - UCI Chess Engine
highway - Highway - A Modern Javascript Transitions Manager
Stockfish - The Stockfish Chess Engine for Flutter.
asmjit - Low-latency machine code generation
codfish - UCI Compliant Chess Engine
librealsense - Intel® RealSense™ SDK