Real-World Examples

These examples are distilled from production image codecs and processing libraries that ship with magetypes. Each demonstrates a specific pattern for writing SIMD code once and running it on x86-64 (AVX2/AVX-512), AArch64 (NEON), WASM (SIMD128), and scalar fallback — without duplicating any logic.

The patterns below are listed from simplest to most complex. Start with the first two to get the feel, then jump to whichever matches your use case.

1. Plane Operations — Scale, offset, and clamp a slice of floats. The simplest possible pattern: partition_slice + loop + scalar tail.
2. Pixel Blending — SrcOver alpha blending on RGBA pixels using f32x4. One pixel per SIMD register.
3. Convolution Kernel — Horizontal image filter with f32x4 accumulator. Fixed-channel-count specialization inside a generic function.
4. Quantization with Masks — JPEG block quantization using f32x8 and i32x8 together. Comparisons, blends, and type conversion in one loop.
5. Gaussian Blur — Separable Gaussian using trait-bounded helpers. Shows how to call generic functions from other generic functions.
6. Color Conversion — RGB-to-YCbCr with matrix coefficients, multi-plane output, and incant! dispatch.
7. Byte-Level Transforms — WebP lossless inverse transforms using u8x16 generics. Integer SIMD for pixel prediction and byte manipulation.

What Could Be Made Generic

Several patterns in the zen codebase currently use platform-specific code that could be migrated to the generic T: Backend pattern with little effort: