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Today is my lil brother b-day ✨


Today is my lil brother b-day ✨

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Computers and Technology, 23.06.2019 17:30, Annlee23
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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Computers and Technology, 25.06.2019 01:20, 11232003
Jason typically uses the internet to buy various items. it the total cost of all of the items ordered, at one time, is $250 or more, then the shipping and handling is free, otherwise the shipping and handling is $15 per item. design an algorithm that prompts jason to enter the number of items ordered and the price of each item. (remember cost = number of items order times price) the algorithm then outputs the total billing amount including shipping and handling. your algorithm must use a loop (repetition structure) to get the number and price of each item. write this in algorithm format not program code format.
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