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When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?

Many prestigious universities have a system called a “legacy preference system” which is used to decide which applicants should be accepted to the university. if an applicant’s parent is an alumnus of the university, the applicant will be admitted with lower gpa and sat scores than if the parent is not an alumnus. (there is currently a lot of discussion about the fairness of this system, but universities get a lot of money from their alumni so they are unwilling to change ) your assignment for mp2 is to implement a computerized system like this for a very small prestigious university. the university has two schools, liberal arts and music, each with their own criteria for accepting students. your program must read in certain information about an applicant and print a message saying whether the applicant should be accepted or not.