Module simd 

Portable SIMD helper routines for buffer math.

Uses runtime CPU feature detection to dispatch:

• AVX (f32x8) on x86_64/x86 when available
• SSE (wide::f32x4) as fallback on x86_64/x86
• Scalar loops on all other architectures

Functions

add_inplace

dst[i] += src[i]

add_sanitized_inplace

dst[i] += sanitize_finite(src[i])

add_scaled_inplace

dst[i] += src[i] * gain

apply_fade_in_inplace

Apply a sine-based fade-in gain ramp in place: gain = sin(t * π/2). t for sample i is (start_t + i as f32 * dt).clamp(0.0, 1.0).

apply_fade_out_inplace

Apply a cosine-based fade-out gain ramp in place: gain = cos(t * π/2). t for sample i is (start_t + i as f32 * dt).clamp(0.0, 1.0).

clamp_inplace

Clamp every element to [min, max].

convert_i8_to_f32

Convert i8 samples to f32 and scale by gain. dst must be at least as long as src.

convert_i16_to_f32

Convert i16 samples to f32 and scale by gain. dst must be at least as long as src.

convert_i32_to_f32

Convert i32 samples to f32 and scale by gain. dst must be at least as long as src.

copy_sanitized_inplace

dst[i] = sanitize_finite(src[i])

copy_scaled_inplace

dst[i] = src[i] * gain

mul_inplace

dst[i] *= gain

peak_abs

Horizontal max of abs(buf[i]).

sanitize_finite_inplace

Replace NaN / ±Inf with 0.0 in place.