What are some case studies on parallelism in computing?
There are several notable case studies on parallelism, including the use of parallel processing in weather forecasting and large-scale simulations.
Can you explain how parallelism improves performance in these cases?
Parallelism allows multiple computations to occur simultaneously, significantly reducing processing time and improving efficiency.
What are the challenges faced when implementing parallelism?
Challenges include managing data dependencies, ensuring load balancing, and dealing with potential race conditions.
Are there specific programming models used for parallel computing?
Yes, common models include MPI (Message Passing Interface), OpenMP, and CUDA for GPU programming.
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