High performance data operations: vectorization, parallelization, reduction, memory.

The algorithm package provides high-performance primitives for data-parallel operations. It includes tools for vectorization (SIMD operations on contiguous data), parallelization (distributing work across multiple cores), and reduction operations (aggregating values). These building blocks enable efficient computational kernels without manual SIMD intrinsics or thread management.

Use this package for large datasets, numerical algorithms, or compute-intensive code. For element-wise operations on small data, standard loops may be simpler.