Parallel Computing MCQ Test: Parallel Computing MCQs - Practice Questions
1. Which parallel computing model involves a single control unit managing multiple processors?
2. Which programming language is commonly used for parallel computing?
3. Why is load balancing important in parallel computing?
4. What is parallel computing?
5. Examine the role of parallel algorithms in addressing challenges related to big data processing and analytics, highlighting key techniques and optimizations.
6. Discuss the advantages and challenges of integrating GPU parallel computing in scientific simulations and data-intensive applications.
7. What is the purpose of parallel for-loops in parallel programming?
8. Discuss the challenges and solutions associated with mitigating race conditions in parallel programming.
9. In the context of parallel algorithms, what is meant by granularity and how does it impact performance?
10. What is the significance of parallel for-loops in parallel programming, and how do they contribute to optimizing computational speed?