Boosting Large-Scale std::vector Performance: Memory, Moves, and SIMD
This article examines why std::vector can become a bottleneck when handling millions of elements, analyzes memory consumption, insertion/deletion costs, and cache behavior, and presents practical optimizations such as pre‑allocation, move semantics, SIMD vectorization, and cache‑friendly designs illustrated with real‑world case studies and code examples.
