Define a class called pizza that has member variables to track the type of pizza (either deep dish, hand tossed, or pan) along with the size (either small, medium, or large) and the number of pepperoni or cheese toppings. you can use constants to represent the type and size. include mutator and accessor functions for your class. create a void function, outputdescription( ) , that outputs a textual description of the pizza object. also include a function, computeprice( ) , that computes the cost of the pizza and returns it as a double according to the following rules: small pizza = $10 + $2 per topping medium pizza = $14 + $2 per topping large pizza = $17 + $2 per topping write a suitable test program that creates and outputs a description and price of various pizza objects.*** i have the code for this question, i need

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?