Write a program that produces a bar chart showing the population growth of Prairieville, a small town in the Midwest, at 20 year intervals during the past 100 years. The program should read in the population figures (rounded tot he nearest 1000 people) for 1900, 1920, 1940, 1960, 1980 and 2000 from a file. For each year it should display the date and a bar consisting of one asterisk for each 1000 people. For example, let's use 3000, 7000,10000, 25000, 29000 and 30000 (but use the file to input the values). Be sure to use a loop for the years and also for the stars Here is an example of how the chart might begin:

The head restraint should be adjusted so that it reaches a. the top of your ears b. the base of your skull c. the top of the head

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?

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