What is NumPy's memory alignment strategy for performance?

NumPy aligns memory to CPU word boundaries for efficient access.

Aligned memory ensures that CPU can fetch data in fewer cycles. Misaligned memory can cause additional loads or cache inefficiencies. NumPy enforces alignment especially for numerical dtypes to optimize SIMD execution and reduce memory latency.