As the complexity in real-world tasks and computations increases, it is vital to understand how to...

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As the complexity in real-world tasks and computations increases, it is vital to understand how to break up different parts of those tasks to increase efficiency. Select an issue or problem in your field/program that would benefit from parallel computing. In 750-1,000 words, describe how it could be used. Consider the following: What is the issue/problem? Why is there a need to adjust performance? Justify your rationale. Would you use task parallelism or data parallelism? How? Would there be concurrent, parallel, and/or distributed computing? Why or why not? What challenges could there be during implementation? Provide detailed examples. As the complexity in real-world tasks and computations increases, it is vital to understand how to break up different parts of those tasks to increase efficiency. Select an issue or problem in your field/program that would benefit from parallel computing. In 750-1,000 words, describe how it could be used. Consider the following: What is the issue/problem? Why is there a need to adjust performance? Justify your rationale. Would you use task parallelism or data parallelism? How? Would there be concurrent, parallel, and/or distributed computing? Why or why not? What challenges could there be during implementation? Provide detailed examples.

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In the field of artificial intelligence and machine learning one common issue that could benefit from parallel computing is training deep neural networks DNNs on large datasets DNNs are a class of alg... View the full answer