Use your compiler or cpp. sh shell to create the Time Management program described below. Use a single cin command line to enter all of your input. Send me the link through email. //your name
//time management program
//today's date
/*create a program where the user can enter the number of hours they estimate spending
each day on five different categories: sleep, classes, work, eat, exercise, and other.
declare each as a float type (so the user has option of entering non-integers).
use the day you have this class, so you'll have a number for classes.
if you don't do one of the categories, enter zero.
Use a single cin command line to enter the number of hours for each category EXCEPT other (your program will compute
other by using the number of hours left in each day).
display a report which lists each category with the number of hours next to it, like this sample report:

Your Daily Time Report:
Sleep: 8 hours
Classes: 3.5 hours
Work: 6.5 hours
Eat: 2 hours
Exercise: .5 hours
Other:
*/

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?