Trait SimdUnifiedOps 

pub trait SimdUnifiedOps:
    Sized
    + Copy
    + PartialOrd
    + Zero {
    // Required methods
    fn simd_add(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_sub(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_mul(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_div(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_dot(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Self;
    fn simd_gemv(
        a: &ArrayView2<'_, Self>,
        x: &ArrayView1<'_, Self>,
        beta: Self,
        y: &mut Array1<Self>,
    );
    fn simd_gemm(
        alpha: Self,
        a: &ArrayView2<'_, Self>,
        b: &ArrayView2<'_, Self>,
        beta: Self,
        c: &mut Array2<Self>,
    );
    fn simd_norm(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_max(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_min(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_scalar_mul(a: &ArrayView1<'_, Self>, scalar: Self) -> Array1<Self>;
    fn simd_sum(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_mean(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_max_element(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_min_element(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_fma(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
        c: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_add_cache_optimized(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_fma_advanced_optimized(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
        c: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_add_adaptive(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_transpose(a: &ArrayView2<'_, Self>) -> Array2<Self>;
    fn simd_abs(a: &ArrayView1<'_, Self>) -> Array1<Self>;
    fn simd_sqrt(a: &ArrayView1<'_, Self>) -> Array1<Self>;
    fn simd_sum_squares(a: &ArrayView1<'_, Self>) -> Self;
    fn simd_multiply(
        a: &ArrayView1<'_, Self>,
        b: &ArrayView1<'_, Self>,
    ) -> Array1<Self>;
    fn simd_available() -> bool;
}

Unified SIMD operations trait

Required Methods

fn simd_add(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise addition

fn simd_sub(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise subtraction

fn simd_mul(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise multiplication

fn simd_div(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise division

fn simd_dot(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Self

Dot product

fn simd_gemv( a: &ArrayView2<'_, Self>, x: &ArrayView1<'_, Self>, beta: Self, y: &mut Array1<Self>, )

Matrix-vector multiplication (GEMV)

fn simd_gemm( alpha: Self, a: &ArrayView2<'_, Self>, b: &ArrayView2<'_, Self>, beta: Self, c: &mut Array2<Self>, )

Matrix-matrix multiplication (GEMM)

fn simd_norm(a: &ArrayView1<'_, Self>) -> Self

Vector norm (L2)

fn simd_max(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise maximum

fn simd_min(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise minimum

fn simd_scalar_mul(a: &ArrayView1<'_, Self>, scalar: Self) -> Array1<Self>

Scalar multiplication

fn simd_sum(a: &ArrayView1<'_, Self>) -> Self

Sum reduction

fn simd_mean(a: &ArrayView1<'_, Self>) -> Self

Mean reduction

fn simd_max_element(a: &ArrayView1<'_, Self>) -> Self

Find maximum element

fn simd_min_element(a: &ArrayView1<'_, Self>) -> Self

Find minimum element

fn simd_fma( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

Fused multiply-add: a * b + c

fn simd_add_cache_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

Enhanced cache-optimized addition for large arrays

fn simd_fma_advanced_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

Advanced-optimized fused multiply-add for maximum performance

fn simd_add_adaptive( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

Adaptive SIMD operation that selects optimal implementation

fn simd_transpose(a: &ArrayView2<'_, Self>) -> Array2<Self>

Matrix transpose

fn simd_abs(a: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise absolute value

fn simd_sqrt(a: &ArrayView1<'_, Self>) -> Array1<Self>

Element-wise square root

fn simd_sum_squares(a: &ArrayView1<'_, Self>) -> Self

Sum of squares

fn simd_multiply( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

Element-wise multiplication (alias for simd_mul)

fn simd_available() -> bool

Check if SIMD is available for this type

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 SimdUnifiedOps for f32

fn simd_add(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sub(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_mul(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_div(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_dot(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Self

fn simd_gemv( a: &ArrayView2<'_, Self>, x: &ArrayView1<'_, Self>, beta: Self, y: &mut Array1<Self>, )

fn simd_gemm( alpha: Self, a: &ArrayView2<'_, Self>, b: &ArrayView2<'_, Self>, beta: Self, c: &mut Array2<Self>, )

fn simd_norm(a: &ArrayView1<'_, Self>) -> Self

fn simd_max(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_min(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_scalar_mul(a: &ArrayView1<'_, Self>, scalar: Self) -> Array1<Self>

fn simd_sum(a: &ArrayView1<'_, Self>) -> Self

fn simd_mean(a: &ArrayView1<'_, Self>) -> Self

fn simd_max_element(a: &ArrayView1<'_, Self>) -> Self

fn simd_min_element(a: &ArrayView1<'_, Self>) -> Self

fn simd_fma( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_add_cache_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_fma_advanced_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_add_adaptive( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_transpose(a: &ArrayView2<'_, Self>) -> Array2<Self>

fn simd_abs(a: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sqrt(a: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sum_squares(a: &ArrayView1<'_, Self>) -> Self

fn simd_multiply( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_available() -> bool

impl SimdUnifiedOps for f64

fn simd_add(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sub(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_mul(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_div(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_dot(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Self

fn simd_gemv( a: &ArrayView2<'_, Self>, x: &ArrayView1<'_, Self>, beta: Self, y: &mut Array1<Self>, )

fn simd_gemm( alpha: Self, a: &ArrayView2<'_, Self>, b: &ArrayView2<'_, Self>, beta: Self, c: &mut Array2<Self>, )

fn simd_norm(a: &ArrayView1<'_, Self>) -> Self

fn simd_max(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_min(a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_scalar_mul(a: &ArrayView1<'_, Self>, scalar: Self) -> Array1<Self>

fn simd_sum(a: &ArrayView1<'_, Self>) -> Self

fn simd_mean(a: &ArrayView1<'_, Self>) -> Self

fn simd_max_element(a: &ArrayView1<'_, Self>) -> Self

fn simd_min_element(a: &ArrayView1<'_, Self>) -> Self

fn simd_fma( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_add_cache_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_fma_advanced_optimized( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, c: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_add_adaptive( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_transpose(a: &ArrayView2<'_, Self>) -> Array2<Self>

fn simd_abs(a: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sqrt(a: &ArrayView1<'_, Self>) -> Array1<Self>

fn simd_sum_squares(a: &ArrayView1<'_, Self>) -> Self

fn simd_multiply( a: &ArrayView1<'_, Self>, b: &ArrayView1<'_, Self>, ) -> Array1<Self>

fn simd_available() -> bool

Implementors