Trait SimdF64 

pub trait SimdF64 {
    // Required methods
    fn simd_add(self, other: f64) -> f64;
    fn simd_sub(self, other: f64) -> f64;
    fn simd_mul(self, other: f64) -> f64;
    fn simd_scalar_mul(view: &ArrayView1<'_, f64>, scalar: f64) -> Array1<f64>;
    fn simd_add_arrays(
        a: &ArrayView1<'_, f64>,
        b: &ArrayView1<'_, f64>,
    ) -> Array1<f64>;
    fn simd_sub_arrays(
        a: &ArrayView1<'_, f64>,
        b: &ArrayView1<'_, f64>,
    ) -> Array1<f64>;
    fn simd_mul_arrays(
        a: &ArrayView1<'_, f64>,
        b: &ArrayView1<'_, f64>,
    ) -> Array1<f64>;
    fn simd_dot(a: &[f64], b: &[f64]) -> f64;
    fn simd_sum(slice: &[f64]) -> f64;
    fn simd_sum_array(a: &ArrayView1<'_, f64>) -> f64;
    fn simd_max(a: &[f64]) -> f64;
    fn simd_min(a: &[f64]) -> f64;
    fn simd_fmadd(a: &[f64], b: &[f64], c: &[f64]) -> Vec<f64>;
}

Trait for SIMD-like batch operations on f64

Required Methods

fn simd_add(self, other: f64) -> f64

fn simd_sub(self, other: f64) -> f64

fn simd_mul(self, other: f64) -> f64

fn simd_scalar_mul(view: &ArrayView1<'_, f64>, scalar: f64) -> Array1<f64>

fn simd_add_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

fn simd_sub_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

fn simd_mul_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

fn simd_dot(a: &[f64], b: &[f64]) -> f64

fn simd_sum(slice: &[f64]) -> f64

fn simd_sum_array(a: &ArrayView1<'_, f64>) -> f64

fn simd_max(a: &[f64]) -> f64

fn simd_min(a: &[f64]) -> f64

fn simd_fmadd(a: &[f64], b: &[f64], c: &[f64]) -> Vec<f64>

Dyn Compatibility

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementations on Foreign Types

impl SimdF64 for f64

fn simd_scalar_mul(view: &ArrayView1<'_, f64>, scalar: f64) -> Array1<f64>

Scalar-multiply every element, 4-wide unrolled

fn simd_add_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

Element-wise addition, 4-wide unrolled

fn simd_sub_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

Element-wise subtraction, 4-wide unrolled

fn simd_mul_arrays( a: &ArrayView1<'_, f64>, b: &ArrayView1<'_, f64>, ) -> Array1<f64>

Element-wise multiplication, 4-wide unrolled

fn simd_dot(a: &[f64], b: &[f64]) -> f64

Dot product with 4-wide accumulator unrolling to reduce dependency chains

fn simd_sum(slice: &[f64]) -> f64

Horizontal sum with 4-wide accumulator unrolling

fn simd_max(a: &[f64]) -> f64

Maximum value with 4-wide unrolled comparison

fn simd_min(a: &[f64]) -> f64

Minimum value with 4-wide unrolled comparison

fn simd_fmadd(a: &[f64], b: &[f64], c: &[f64]) -> Vec<f64>

Fused multiply-add: out[i] = a[i]*b[i] + c[i], 4-wide unrolled

fn simd_add(self, other: f64) -> f64

fn simd_sub(self, other: f64) -> f64

fn simd_mul(self, other: f64) -> f64

fn simd_sum_array(a: &ArrayView1<'_, f64>) -> f64

Implementors