Question: 5. Computationally hard problems are an important part of computer science. In such problems, the execution time of a solution program often grows exponentially as

5. Computationally hard problems are an important part of computer science. In such problems, the execution time of a solution program often grows exponentially as a size of the input. If I need to be able to substantially increase the size of the input I can handle on such a problem in order to solve a problem instance of interest, why is parallelizing the code likely to have little effect?

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