pub fn sum_simd<F>(x: &ArrayView1<'_, F>) -> Fwhere
F: Float + SimdUnifiedOps,Expand description
Compute sum 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
- The sum of all elements in the array (0 for empty array)
§Performance
- f32: ~2-3x faster than scalar for arrays > 1000 elements
- f64: ~2-3x faster than scalar for arrays > 1000 elements
§Examples
use scirs2_core::ndarray::array;
use scirs2_core::ndarray_ext::reduction::sum_simd;
let x = array![1.0f64, 2.0, 3.0, 4.0, 5.0];
let sum = sum_simd(&x.view());
assert_eq!(sum, 15.0);