SIMD and Vectorization: Processing Many Values at Once with Vector128/256/512 and TensorPrimitives
SIMD means processing 4, 8 or 16 values held in a wide register at once with a single instruction; in .NET you use it through the BCL, TensorPrimitives, Vector<T> and Vector128/256/512. Summing a million ints, a single-accumulator vector loop is 2x faster and a four-accumulator one 6.5x; plus vpaddd ymm/zmm in x64 assembly, IsHardwareAccelerated as a JIT constant, and double sums that change with the hardware.
14 Nov 2026
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16 min
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