How does Julia handle CPU cache locality in numerical workloads?

Julia improves cache locality through column-major arrays, contiguous memory layouts, and loop fusion.

CPU performance depends heavily on cache usage. Julia stores arrays in column-major order, ensuring sequential memory access during linear algebra operations. Combined with loop fusion and SIMD execution, this minimizes cache misses and maximizes throughput.