Description
Portable SIMD code can be written in C++ across different CPU families without hand-coding every intrinsic path.
It is useful for developers optimizing image processing, compression, numeric code, and other performance-sensitive workloads. Hardware-specific acceleration needs careful testing on target CPUs, and Git builds may change APIs or behavior before release.