What are some real-world applications of parallel computing?
Parallel computing is used in various fields like scientific simulations, data analysis, and machine learning. For example, weather forecasting models use parallel computing to process vast amounts of data quickly.
Can you give me a specific case study?
Sure! One notable case study is the use of parallel computing in the Human Genome Project, which involved processing massive datasets to map human DNA sequences efficiently.
How does parallel computing improve performance?
It improves performance by dividing tasks into smaller sub-tasks that can be processed simultaneously, significantly reducing computation time.
What are the challenges faced in parallel computing?
Challenges include managing data dependencies, ensuring load balancing, and dealing with communication overhead between processors.
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