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The Wayback Machine - https://web.archive.org/web/20211003234020/https://github.com/topics/sve
Here are
10 public repositories
matching this topic...
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
Open Source Architecture Code Analyzer
Updated
Sep 30, 2021
Jupyter Notebook
Agenium Scale vectorization library for CPUs and GPUs
Updated
Sep 29, 2021
Python
SIMD macro assembler unified for ARM, MIPS, PPC and x86
Realtime raytracer using SIMD on ARM, MIPS, PPC and x86
TMA Band True (Contrarian) Strategy
Updated
Sep 25, 2021
MQL5
Strategy based on SVE Bollinger Bands indicator
Updated
Sep 25, 2021
MQL5
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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));