500+ quant interview questions for Jane Street, Citadel, Two Sigma, DE Shaw, and other top quantitative finance firms.
C++ and Python coding challenges for quant developer interviews
Trading MCQs, probability brainteasers, and market scenarios
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Difficulty: Medium
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: alignas, cache-line, struct-packing, false-sharing, memory-optimization, c++17, low-latency, static-assert
Cache-line false sharing is a critical latency hazard in multi-threaded market data pipelines, where concurrent writes to different fields on the same cache line cause performance stalls. High-frequency trading (HFT) systems mitigate this by explicitly padding and aligning frequently accessed data structures to cache-line boundaries, ensuring predictable L1 access latency and eliminating cross-core invalidation. This technique optimizes memory access patterns for critical financial data. Task I
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