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Difficulty: Hard
Category: Networking & Systems
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Topics: NUMA, memory-allocation, systems-programming, low-latency, trading-systems
You are developing a high-frequency trading application on a NUMA (Non-Uniform Memory Access) system. On this system, accessing memory on the same NUMA node as the processing core is significantly faster than accessing memory on a different node. Specifically, accessing remote memory costs 1.5 to 3 times more than accessing local memory. The trading application processes market data and executes trades, requiring frequent memory access. To minimize latency and maximize performance, how should t
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