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The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
Agenium Scale vectorization library for CPUs and GPUs
Open Source Architecture Code Analyzer
Updated
Apr 8, 2022
Jupyter Notebook
SIMD macro assembler unified for ARM, MIPS, PPC and x86
Realtime raytracer using SIMD on ARM, MIPS, PPC and x86
🎹 Unified implementation of SIMD intrinsic functions and fallback implementations on hardware that does not natively support them, as an extension to Swift Numeric types.
Updated
May 30, 2022
Swift
Integrated Python Repl/IDE made using PyScript.
Updated
May 19, 2022
HTML
TMA Band True (Contrarian) Strategy
Updated
Jan 30, 2022
MQL5
Performance comparison between small, hand-written SVE kernels and compiler-generated ones.
Strategy based on SVE Bollinger Bands indicator
Updated
Jan 30, 2022
Jinja
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ld4((v0 - v3), ptr(x0)); <--- (1)doesn't compile.Error: error: no match for ‘operator-’ (operand types are ‘const Xbyak::VReg’ and ‘const Xbyak::VReg’)
ld4((v0 - v3), ptr(x0));