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Why might using multiple threads within a single process not always improve performance compared to multiple processes?

medium🪤 Complexity Trap Q13 of Q15
Operating Systems - Process vs Thread - Key Differences
Why might using multiple threads within a single process not always improve performance compared to multiple processes?
ABecause thread context switching is slower than process context switching
BBecause threads have higher memory overhead than processes
CBecause threads share the same memory space, leading to potential synchronization bottlenecks
DBecause threads cannot run on multiple CPU cores simultaneously
Step-by-Step Solution
  1. Step 1: Analyze memory overhead

    Threads share memory, so they have lower memory overhead than processes, making Because threads have higher memory overhead than processes incorrect.
  2. Step 2: Consider synchronization issues

    Shared memory requires synchronization mechanisms (locks, mutexes), which can cause contention and reduce performance.
  3. Step 3: Evaluate context switching speed

    Thread context switching is generally faster than process switching, so Because thread context switching is slower than process context switching is false.
  4. Step 4: Understand CPU core utilization

    Threads can run on multiple cores simultaneously, so Because threads cannot run on multiple CPU cores simultaneously is false.
  5. Final Answer:

    Option C -> Option C
  6. Quick Check:

    Synchronization overhead can limit thread performance gains [OK]
Quick Trick: Threads share memory but need locks; locks can slow things down [OK]
Common Mistakes:
MISTAKES
  • Assuming threads always outperform processes
  • Confusing context switch overhead between threads and processes
  • Believing threads cannot utilize multiple cores
Trap Explanation:
PITFALL
  • Candidates often overlook synchronization overhead as a performance bottleneck in multithreaded programs.
Interviewer Note:
CONTEXT
  • Tests understanding of trade-offs and limitations of threads versus processes in performance.
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