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If a system designer wants to reduce context switch overhead in a heavily multi-threaded application, which optimization is most effective?

hard🎤 Interviewer Follow-up Q10 of Q15
Operating Systems - Context Switch - Cost & Causes
If a system designer wants to reduce context switch overhead in a heavily multi-threaded application, which optimization is most effective?
ADisable preemption to avoid context switches altogether.
BIncrease the frequency of context switches to improve fairness.
CUse cooperative multitasking where threads yield control explicitly.
DUse thread-local storage to minimize shared state during switches.
Step-by-Step Solution
Solution:
  1. Step 1: Understand context switch overhead in multi-threading

    Reducing involuntary context switches reduces overhead; cooperative multitasking achieves this by explicit yielding.
  2. Step 2: Evaluate other options

    Thread-local storage helps with data management but does not reduce switch overhead. Increasing context switch frequency increases overhead. Disabling preemption risks starvation and poor responsiveness.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Cooperative multitasking reduces involuntary context switches [OK]
Quick Trick: Explicit yielding reduces involuntary context switches [OK]
Common Mistakes:
MISTAKES
  • Confusing thread-local storage with switch overhead
  • Thinking more frequent switches improve performance
  • Believing disabling preemption is safe
Trap Explanation:
PITFALL
  • Candidates often confuse data management with switch overhead or ignore risks of disabling preemption.
Interviewer Note:
CONTEXT
  • Tests deep understanding of context switch overhead reduction strategies.
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