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irina1246 [14]
3 years ago
5

The technical relationship between inputs and outputs, which is needed to understand the difference between the short run and th

e long run, is called
technical efficiency.
economic efficiency.
a production function.
a time and motion study.
supply and demand.
Computers and Technology
1 answer:
MrRa [10]3 years ago
3 0
<span>The technical relationship between inputs and outputs, which is needed to understand the difference between the short run and the long run, is called a production function.

Hope I helped ;)
</span>
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Many documents use a specific format for a person's name. Write a program whose input is: firstName middleName lastName, and who
never [62]

Answer:

Python Program:

if __name__ == '__main__':

   a = input("Enter Name: ")

   b = a.split()

   print(b[2] + ',' , b[0], b[1][0])

Explanation:

The input function will be used to prompt user to enter the name of the person. The person's name will be stored in variable a.

Let us assume that the user entered a name mentioned in the example, which is Pat Silly Doe, Now variable a = 'Pat Silly Doe'.

The function a.split() is used to split a string into a list. The splitting (by default) is done on the basis of white-space character. Therefore, a.split() will give a list

['Pat', 'Silly', 'Doe']

which will be later on stored in variable b.

We can use the subscript operator [] to access the values in a list. Suppose if we have a list a, then a[i] will give us ith element of a, if i < length of a.

Finally, we print the answer. b[2] will give us the last name of the person. We append a comma using '+' operator. b[0] will give us the first name. b[1] will give us the middle name, but since we only need one character from the middle name, we can use another subscript operator b[1][0] to give us the first character  of the middle name.

Note: Characters of strings can be accessed using subscript operator too.

4 0
3 years ago
A common fallacy is to use MIPS (millions of instructions per second) to compare the performance of two different processors, an
yulyashka [42]

The question is incomplete. It can be found in search engines. However, kindly find the complete question below:

Question

Cites as a pitfall the utilization of a subset of the performance equation as a performance metric. To illustrate this, consider the following two processors. P1 has a clock rate of 4 GHz, average CPI of 0.9, and requires the execution of 5.0E9 instructions. P2 has a clock rate of 3 GHz, an average CPI of 0.75, and requires the execution of 1.0E9 instructions. 1. One usual fallacy is to consider the computer with the largest clock rate as having the largest performance. Check if this is true for P1 and P2. 2. Another fallacy is to consider that the processor executing the largest number of instructions will need a larger CPU time. Considering that processor P1 is executing a sequence of 1.0E9 instructions and that the CPI of processors P1 and P2 do not change, determine the number of instructions that P2 can execute in the same time that P1 needs to execute 1.0E9 instructions. 3. A common fallacy is to use MIPS (millions of instructions per second) to compare the performance of two different processors, and consider that the processor with the largest MIPS has the largest performance. Check if this is true for P1 and P2. 4. Another common performance figure is MFLOPS (millions of floating-point operations per second), defined as MFLOPS = No. FP operations / (execution time x 1E6) but this figure has the same problems as MIPS. Assume that 40% of the instructions executed on both P1 and P2 are floating-point instructions. Find the MFLOPS figures for the programs.

Answer:

(1) We will use the formula:

                                       CPU time = number of instructions x CPI / Clock rate

So, using the 1 Ghz = 10⁹ Hz, we get that

CPU time₁ = 5 x 10⁹ x 0.9 / 4 Gh

                    = 4.5 x 10⁹ / 4 x 10⁹Hz = 1.125 s

and,

CPU time₂ = 1 x  10⁹ x 0.75 / 3 Ghz

                  = 0.75 x 10⁹ / 3 x 10⁹ Hz = 0.25 s

So, P2 is actually a lot faster than P1 since CPU₂ is less than CPU₁

(2)

     Find the CPU time of P1 using (*)

CPU time₁ = 10⁹ x 0.9 / 4 Ghz

                = 0.9 x 10⁹ / 4 x 10⁹ Hz = 0.225 s

So, we need to find the number of instructions₂ such that  CPU time₂ = 0.225 s. This means that using (*) along with clock rate₂ = 3 Ghz and CPI₂ = 0.75

Therefore,   numbers of instruction₂ x 0.75 / 3 Ghz = 0.225 s

Hence, numbers of instructions₂ = 0.225 x 3 x  10⁹ / 0.75  = 9 x 10⁸

So, P1 can process more instructions than P2 in the same period of time.

(3)

We recall  that:

MIPS = Clock rate / CPI X 10⁶

  So, MIPS₁ = 4GHZ / 0.9 X 10⁶ = 4 X 10⁹HZ / 0.9 X 10⁶ = 4444

        MIPS₂ = 3GHZ / 0.75 X 10⁶ = 3 x 10⁹ / 0.75 X 10⁶ = 4000

So, P1 has the bigger MIPS

(4)

  We now recall that:

MFLOPS = FLOPS Instructions / time x 10⁶

              = 0.4 x instructions / time x 10⁶ = 0.4 MIPS

Therefore,

                  MFLOPS₁ = 1777.6

                  MFLOPS₂ = 1600

Again, P1 has the bigger MFLOPS

3 0
3 years ago
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