Amdahl’s Law MCQs

By: Prof. Dr. Fazal Rehman | Last updated: June 23, 2025

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1. : What does Amdahl’s Law primarily address?





2. : According to Amdahl’s Law, what is the primary factor limiting the overall speedup of a program?





3. : In Amdahl’s Law, what does the term “P” represent?





4. : What does “1 – P” represent in Amdahl’s Law?





5. : How does increasing the number of processors affect the speedup according to Amdahl’s Law?





6. : In Amdahl’s Law, what is the impact of a program’s non-parallelizable portion on its overall performance improvement?





7. : If a program has a parallelizable portion of 80% and is run on 4 processors, what is the theoretical maximum speedup according to Amdahl’s Law?





8. : According to Amdahl’s Law, what happens to the speedup if the fraction of the program that can be parallelized approaches 100%?





9. : How does a higher non-parallelizable fraction affect the maximum achievable speedup?





10. : If a program’s non-parallelizable portion is 50% and it is run on 8 processors, what is the speedup according to Amdahl’s Law?





11. : Which of the following best describes the practical application of Amdahl’s Law?





12. : In Amdahl’s Law, if the parallelizable portion of a program is increased, what happens to the potential speedup?





13. : What does Amdahl’s Law assume about the workload distribution across processors?





14. : Which of the following is a limitation of Amdahl’s Law?





15. : How does adding more processors impact the speedup when the non-parallelizable portion of the program is high?





16. : In Amdahl’s Law, what is the effect of reducing the parallelizable portion of a program on its speedup?





17. : Which factor has the most significant impact on the speedup of a program according to Amdahl’s Law?





18. : According to Amdahl’s Law, if a program is 90% parallelizable and is run on 16 processors, what is the maximum theoretical speedup?





19. : What is a common misconception about the benefits of adding more processors based on Amdahl’s Law?





20. : How does Amdahl’s Law apply to modern multi-core processors with high levels of parallelism?





21. : What is the effect of reducing the fraction of a program that can be parallelized on overall performance improvement?





22. : In Amdahl’s Law, what does the term “N” represent?





23. : How does parallel overhead impact the speedup predicted by Amdahl’s Law?





24. : What does Amdahl’s Law suggest about the benefits of parallelizing a program with a very small parallelizable portion?





25. : What role does Amdahl’s Law play in understanding the efficiency of parallel computing systems?





26. : What is the implication of Amdahl’s Law for systems with high parallelism but a significant serial portion of a program?





27. : How does Amdahl’s Law influence decisions about investing in additional processors for parallel computing?





28. : What is one practical use of Amdahl’s Law in computer architecture design?





29. : In Amdahl’s Law, how does the speedup change if the parallelizable portion of a program is increased from 50% to 80% while keeping the number of processors constant?





30. : What does Amdahl’s Law imply about the impact of improving parallel execution on overall program performance?





31. : What does the concept of “diminishing returns” in Amdahl’s Law mean?





32. : How does Amdahl’s Law affect the design of parallel computing systems?





33. : What effect does a small parallelizable portion have on the efficiency of a multi-core processor system?





34. : How can understanding Amdahl’s Law assist in optimizing software for parallel computing environments?





35. : Which scenario would result in the highest speedup according to Amdahl’s Law?





36. : What is the significance of Amdahl’s Law in the context of designing parallel algorithms?





37. : How does Amdahl’s Law affect the evaluation of performance improvements from parallel computing innovations?





38. : What does Amdahl’s Law suggest about the relationship between program parallelizability and overall system performance?





39. : Which factor has the most impact on achieving high speedup in parallel computing according to Amdahl’s Law?





40. : How does the concept of “scalability” relate to Amdahl’s Law?





41. : In practical terms, what does Amdahl’s Law suggest for improving program performance through parallelism?





42. : How does the fraction of serial execution time affect the potential speedup of a program according to Amdahl’s Law?





43. : What does Amdahl’s Law imply about the trade-off between adding more processors and parallelizing code?





44. : How can Amdahl’s Law help in making decisions about system upgrades for better parallel processing?





45. : How does Amdahl’s Law affect the expectations for performance gains from multi-core processors?





46. : Which scenario would lead to the most effective use of Amdahl’s Law?





47. : What is a key takeaway from Amdahl’s Law regarding parallel computing?





48. : According to Amdahl’s Law, how should a programmer approach optimizing a program for parallel processing?





49. : What is the practical impact of Amdahl’s Law on multi-core processor performance evaluations?





50. : What does Amdahl’s Law suggest about the scalability of a program with a large serial portion?





51. : In the context of Amdahl’s Law, how is the term “speedup” defined?





52. : What does Amdahl’s Law imply about the relationship between the number of processors and the speedup achieved?





53. : What should be the primary focus when attempting to maximize the performance improvements from parallel processing, according to Amdahl’s Law?





54. : How can Amdahl’s Law be applied to assess the potential benefits of adding more processors to a system?





55. : What does Amdahl’s Law suggest about the efficiency of a system with a program that is 100% parallelizable?





56. : How can understanding Amdahl’s Law guide decisions in software optimization for parallel computing?





57. : What is the limitation of parallel processing in systems with a significant serial workload according to Amdahl’s Law?





 

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