MCQs on Algorithms in Parallel and Distributed Computing 

By: Prof. Dr. Fazal Rehman | Last updated: May 6, 2025

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1. What is the main goal of parallel algorithms in distributed computing?



2. Which type of parallelism involves breaking down a large task into smaller independent subtasks?



3. What does Amdahl’s Law quantify in parallel computing?



4. In distributed computing, what is the purpose of the MapReduce algorithm?



5. Which algorithmic design approach focuses on minimizing the need for communication between distributed nodes?



6. What is the primary advantage of using randomized algorithms in parallel computing?



7. In parallel sorting algorithms, what is a common approach to achieve parallelism?



8. Which algorithm is commonly used for solving problems in the P-complete complexity class in parallel computing?



9. In parallel graph algorithms, what does the “graph coloring” technique aim to achieve?



10. Which parallel algorithm is commonly used for solving linear systems of equations?



11. What is the primary focus of the Bulk Synchronous Parallel (BSP) model in algorithm design?



12. Which algorithmic paradigm is commonly used for solving problems that can be divided into subproblems of the same type?



13. In distributed hash tables (DHTs), what is the primary purpose of the Chord algorithm?



14. What does the term “embarrassingly parallel” refer to in the context of parallel algorithms?



15. In parallel algorithm design, what is the primary concern addressed by the work-stealing technique?



16. Which algorithmic approach is suitable for solving problems with optimal substructure and overlapping subproblems?



17. What is the primary advantage of using parallel prefix algorithms (scan) in parallel computing?



18. In parallel computing, what does the term “superstep” refer to in the context of the Bulk Synchronous Parallel (BSP) model?



19. Which parallel algorithm is commonly used for solving problems in the PSPACE complexity class?



20. In parallel computing, what is the purpose of the Butterfly Network in the context of interconnection networks?



21. Which algorithmic technique is commonly used for solving optimization problems by iteratively improving candidate solutions?



22. In parallel computing, what does the term “granularity” refer to in the context of parallel algorithms?



23. Which algorithm is commonly used for finding the strongly connected components in a directed graph?



24. What is the primary objective of the Hadoop Distributed File System (HDFS) in distributed computing?



25. In parallel computing, what does the term “blocking” refer to in the context of communication patterns?



26. Which algorithmic approach is commonly used for solving problems by recursively breaking them into smaller instances?



27. What is the primary purpose of the Parallel Prefix Sum algorithm (Scan) in parallel computing?



28. In parallel computing, what does the term “speedup” represent?



29. Which algorithmic approach focuses on making locally optimal choices at each stage with the hope of finding a global optimum?



30. What is the primary purpose of the Breadth-First Search (BFS) algorithm in parallel computing?



 

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