Scalability analysis of parallel systems MCQs

30
Score: 0
Attempted: 0/30

1. : What does scalability refer to in the context of parallel systems?
(A) The ability to handle increasing workloads
(B) The reduction of hardware diversity
(C) Minimizing communication overhead
(D) Ignoring fault tolerance

2. : Which factor is essential for achieving good scalability in parallel systems?
(A) Ignoring load balancing
(B) Reducing system complexity
(C) Minimizing hardware diversity
(D) Efficient distribution of work among processors

3. : What does Amdahl’s Law emphasize in scalability analysis?
(A) The impact of communication overhead
(B) The importance of hardware diversity
(C) The achievable speedup in parallel processing
(D) The role of load balancing

4. : In scalability analysis, what is the significance of the strong scaling factor?
(A) It measures the system’s performance as the problem size increases.
(B) It quantifies the impact of communication overhead.
(C) It assesses the system’s performance with a fixed problem size as the number of processors increases.
(D) It evaluates the reduction in hardware diversity.

5. : What is the primary goal of scalability analysis in parallel computing?
(A) Minimizing fault tolerance
(B) Achieving the highest possible performance
(C) Ignoring load balancing
(D) Reducing hardware diversity

6. : What is the impact of Amdahl’s Law on scalability as the number of processors increases?
(A) It decreases scalability.
(B) It has no effect on scalability.
(C) It improves scalability.
(D) It maximizes hardware diversity.

7. : How is weak scalability defined in the context of parallel systems?
(A) The system’s performance with a fixed problem size as the number of processors increases.
(B) The system’s ability to handle increasing workloads.
(C) The impact of communication overhead.
(D) The achievable speedup in parallel processing.

8. : Which factor is a common challenge for achieving scalability in parallel systems?
(A) Efficient load balancing
(B) Increased hardware diversity
(C) Ignoring fault tolerance
(D) Minimizing communication overhead

9. : In scalability analysis, what does the term “linear scalability” imply?
(A) The system’s performance degrades as the number of processors increases.
(B) The system’s performance scales linearly with the number of processors.
(C) The system can handle only fixed workloads.
(D) Fault tolerance is maximized.

10. : How is scalability typically measured in parallel systems?
(A) By minimizing hardware diversity
(B) By achieving the highest possible performance
(C) By assessing the reduction in load balancing
(D) By evaluating the system’s performance as the workload or processors increase

11. : What role does communication overhead play in scalability analysis?
(A) It improves scalability.
(B) It has no impact on scalability.
(C) It can hinder scalability.
(D) It reduces hardware diversity.

12. : What is the primary focus of Amdahl’s Law in scalability analysis?
(A) Minimizing hardware diversity
(B) Evaluating communication patterns
(C) Quantifying achievable speedup in parallel processing
(D) Assessing the impact of load balancing

13. : In scalability analysis, what does the term “superlinear scalability” imply?
(A) The system’s performance degrades linearly as the number of processors increases.
(B) The system’s performance scales superlinearly with the number of processors.
(C) The system’s performance remains constant with an increasing workload.
(D) Fault tolerance is maximized.

14. : Which factor is crucial for achieving good scalability in parallel systems?
(A) Ignoring load balancing
(B) Increasing hardware diversity
(C) Efficient distribution of work among processors
(D) Reducing system complexity

15. : What is the impact of load balancing on scalability in parallel systems?
(A) It has no effect on scalability.
(B) It decreases scalability.
(C) It improves scalability.
(D) It maximizes hardware diversity.

16. : How is scalability affected by inefficient load balancing in parallel systems?
(A) It improves scalability.
(B) It has no effect on scalability.
(C) It decreases scalability.
(D) It maximizes hardware diversity.

17. : What does the term “scalability bottleneck” refer to in parallel computing?
(A) A point where hardware diversity is maximized.
(B) A point where load balancing is optimized.
(C) A limitation that prevents achieving good scalability.
(D) A condition where fault tolerance is minimized.

18. : In scalability analysis, what is the purpose of the speedup metric?
(A) To quantify the impact of communication overhead.
(B) To evaluate the system’s performance as the workload or processors increase.
(C) To minimize hardware diversity.
(D) To assess the reduction in load balancing.

19. : What is the primary focus of weak scalability in parallel systems?
(A) The system’s performance scales linearly with the number of processors.
(B) The system’s performance with a fixed problem size as the number of processors increases.
(C) The achievable speedup in parallel processing.
(D) The system’s ability to handle increasing workloads.

20. : What role does hardware diversity play in scalability analysis?
(A) It maximizes scalability.
(B) It minimizes scalability.
(C) It has no impact on scalability.
(D) It reduces the need for load balancing.

21. : How is the scalability index defined in parallel computing?
(A) The ratio of communication overhead to hardware diversity.
(B) The ratio of the system’s performance with a fixed problem size to the number of processors.
(C) The ratio of the achievable speedup to the reduction in load balancing.
(D) The ratio of the system’s performance with a fixed problem size to the system’s performance with increasing workloads.

22. : In scalability analysis, what does the term “sublinear scalability” imply?
(A) The system’s performance scales linearly with the number of processors.
(B) The system’s performance degrades linearly as the number of processors increases.
(C) The system’s performance scales sublinearly with the number of processors.
(D) Fault tolerance is maximized.

23. : How does parallel overhead impact scalability in parallel systems?
(A) It improves scalability.
(B) It has no effect on scalability.
(C) It decreases scalability.
(D) It maximizes hardware diversity.

24. : What is the role of efficiency in scalability analysis?
(A) To maximize hardware diversity.
(B) To minimize load balancing.
(C) To assess the impact of communication overhead.
(D) To quantify how well a parallel system utilizes its resources as the workload or processors increase.

25. : What is the significance of achieving linear scalability in parallel systems?
(A) It maximizes hardware diversity.
(B) It minimizes scalability.
(C) It indicates that the system’s performance scales linearly with the number of processors.
(D) It optimizes load balancing.

26. : How does the scalability of a parallel system change with an increasing number of processors?
(A) It remains constant.
(B) It maximizes hardware diversity.
(C) It improves.
(D) It minimizes scalability.

27. : What is the primary challenge addressed by scalability analysis in parallel systems?
(A) Minimizing hardware diversity.
(B) Optimizing load balancing.
(C) Achieving linear scalability.
(D) Efficiently handling increasing workloads.

28. : In scalability analysis, what is the role of parallel efficiency?
(A) To maximize hardware diversity.
(B) To minimize load balancing.
(C) To quantify how well a parallel system utilizes its resources as the workload or processors increase.
(D) To assess the impact of communication overhead.

29. : What does the term “scalability trade-off” refer to in parallel computing?
(A) The balance between load balancing and hardware diversity.
(B) The balance between communication overhead and fault tolerance.
(C) The trade-off between scalability and efficiency.
(D) The trade-off between achieving linear scalability and sublinear scalability.

30. : In scalability analysis, what is the purpose of the scalability curve?
(A) To assess the impact of communication overhead.
(B) To quantify the reduction in load balancing.
(C) To visualize the system’s performance as the workload or processors increase.
(D) To maximize hardware diversity.

Scalability analysis of parallel systems MCQs
By: Prof. Dr. Fazal Rehman | Last updated: May 6, 2025

Read More MCQs on Parallel and Distributed Computing

Homepage for MCQs on Parallel and Distributed Computing

Related Posts: