SIMD
SIMD is a parallel processing method in which a single instruction operates on multiple data elements at once.
SIMD, short for single instruction, multiple data, is a form of parallel processing in which one instruction applies the same operation to many data elements simultaneously. The term comes from Flynn's classification of computer architectures, and it is implemented in vector instruction sets such as SSE and AVX on x86 processors and NEON on Arm processors.
It speeds up work that repeats the same calculation over large amounts of data, such as video and audio processing, graphics, scientific computing and machine learning. When a compiler turns loops into SIMD instructions, the process is called auto-vectorization.
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