We use optional cookies for analytics and affiliate attribution. Essential cookies and marketing measurement are always on. Read our privacy policy

We just launched our Black Friday sale. You can use code BF2026 to get 25% off all subscriptions, valid until Nov 30th. There is a limit of 100 redemptions.

Logo

True-sharing data structure

What this preview is

True-sharing data structure is a easy quant coding problem on concurrency in Cpp, asked at Quant.

Difficulty
Easy
Topic
Concurrency
Discipline
Quant development
Language
Cpp

Implementing cache-line-aware data structures in C++

This easy coding problem tests whether you understand false sharing and how to eliminate it through careful memory layout. It is common in low-latency trading systems where two threads operate on independent counters or flags that must not interfere with each other's cache performance.

The core challenge is to ensure that two integral member variables sit on separate cache lines, so that when one thread writes to a member, the other thread's read does not trigger an expensive cache-line invalidation. This requires knowledge of cache-line size, alignment semantics, and how to use compiler features or standard library utilities to pad and align struct members correctly. The solution must be portable and not hard-code assumptions about cache architecture.

  • Cache-line size detection and portability
  • Alignment and padding in C++ struct layout
  • Standard utilities for enforcing alignment constraints
  • Integral type constraints via templates

Unlock full access to getcracked

Join to unlock this problem, detailed solutions, and our complete library of quant finance interview prep.