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mean_simd

scirs2_core::ndarray_ext::reduction

Function mean_simd 

Source 
pub fn mean_simd<F>(x: &ArrayView1<'_, F>) -> Option<F>
where
    F: Float + SimdUnifiedOps,
Expand description

Compute the arithmetic mean of a 1D array with SIMD acceleration.

This function uses SIMD operations when beneficial for performance, providing significant speedups for large arrays on supported platforms (AVX2, NEON).

§Arguments

  • x - Input 1D array

§Returns

  • Some(mean) - The arithmetic mean of the array
  • None - If the array is empty

§Performance

  • f32: ~2-3x faster than scalar for arrays > 1000 elements
  • f64: ~2-3x faster than scalar for arrays > 1000 elements
  • Uses SIMD sum followed by division

§Examples

use scirs2_core::ndarray::array;
use scirs2_core::ndarray_ext::reduction::mean_simd;

let x = array![1.0f64, 2.0, 3.0, 4.0, 5.0];
let mean = mean_simd(&x.view()).expect("Operation failed");
assert!((mean - 3.0).abs() < 1e-10);