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Difficulty: Hard
Category: memory_optimization
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: arena-allocator, jemalloc, memory_optimization, bump-pointer, thread-local, allocation
Arena allocators offer a high-performance memory strategy by pre-allocating a large memory pool for fast, repeated allocations. In quantitative finance, this "bump allocator" pattern is used in thread-local contexts to manage objects like orders and trades, eliminating lock contention and ensuring predictable low-latency performance. This implementation models the core logic of such an allocator for objects with a shared lifetime. Task Implement the ArenaAllocator struct to manage a pre-allocat
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