Suppose that when run using a single thread, a particular program spends 20 seconds executing code that cannot be parallelized, and 280 seconds executing code that is highly parallelizable. Using Amdahl’s law, give an upper bound on the speedup (ratio of old to new execution time) that might be achieved for this program by exploiting parallel execution on a highly-parallel computer with thousands of processors/cores.

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A: Answer is given below with all calculation