Difficulty: Medium
Category: architecture & logic
Practice quant interview questions from top firms including Jane Street, Citadel, Two Sigma, DE Shaw, and other leading quantitative finance companies.
Topics: memory-management, optimization, data-structures, c++
Dynamic memory allocation on the critical path introduces unpredictable latency due to heap fragmentation and system calls. To mitigate this, developers employ the Object Pool pattern to pre-allocate contiguous memory blocks and efficiently recycle objects using a free list. This approach ensures deterministic performance and maximizes cache locality for latency-sensitive order management components. Task Implement an OrderPool class that manages Order objects using a std::vector for contiguous
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