1.16 [10/20/20/20/25]1.10> When parallelizing an application, the ideal speedup is speeding up by the number of processors. This is limited by two things: percentage of the application that can be parallelized and the cost of communication. Amdahl's Law takes into account the former but not the latter a. [10] what is the speedup with N processors if 80% of the application is parallelizable, b. 20] What is the speedup with eight processors if, for every processor added, the c. [20] What is the speedup with eight processors if, for every time the number of processors is d. [20] What is the speedup with N processors if, for every time the number of processors is e. [25] Write the general equation that solves this question: What is the number of processors communication overhead is 0.5% of the original execution time. doubled, the communication overhead is increased by 0.5% of the original execution time? doubled, the communication overhead is increased by 0.5% of the original execution time? with the highest speedup in an application in which P% of the original execution time is parallelizable, and, for every time the number of processors is doubled, the communication is increased by 0.5% of the original execution time