Answer:
Explanation:
When I went to high school, our next door neighbor had a pet dinosaur. We used to have to do math problems that were incredibly long and tedious. Things like the gas laws. They involve 5 numbers with 2 decimal places and we were asked to find the 6th number.
Eventually we were taught to use log tables but by then we were too numb to care.
Computers however take repetitiveness in their stride. They don't gag at how many times they have to repeat an operation. They don't mind if they do it a thousand times or a million or 100 million times. Some algorithms like the Monte Carlo method depend on trying an operation a million times. Humans would go crazy if they had to do that. Computers can do simple algorithms a million times while the mouse is on the go command.
If you pick a job like a tax consultant, you will be glad not to do any more than knowing where the numbers that make up your data go.
Same with banks and insurance jobs. I'll bet there are many jobs in medicine that require repetitive calculations.
Answer:
Achieved Instruction per cycle rate is 
Solution:
As per the question:
Execution time, t = 1.4 s
No. of instructions being executed, n = 1.8 billion =
Clock speed of CPU, f = 3.2 GHz = 
Now, to calculate the actual issue rate achieved:
CPI (Cycle per Instruction) = 
CPI = 
Instruction per cycle is given as the reciprocal of CPI:
Instruction per cycle = 
Answer:
hey what's the language can't understand
