Using Amdahl’s Law, calculate the speedup gain of an application that has a 60 percent parallel component for (a) two processing
1 answer:
Answer:
a) Speedup gain is 1.428 times.
b) Speedup gain is 1.81 times.
Explanation:
in order to calculate the speedup again of an application that has a 60 percent parallel component using Anklahls Law is speedup which state that:
Where S is the portion of the application that must be performed serially, and N is the number of processing cores.
(a) For N = 2 processing cores, and a 60%, then S = 40% or 0.4
Thus, the speedup is:
Speedup gain is 1.428 times.
(b) For N = 4 processing cores and a 60%, then S = 40% or 0.4
Thus, the speedup is:
Speedup gain is 1.81 times.
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Answer:
Here is the Python program:
d = {5:3, 4:1, 12:2}
val_of_max = d[max(d.keys())]
print(val_of_max)
Explanation:
The program works as follows:
So we have a dictionary named d which is not empty and has the following key-value pairs:
5:3
4:1
12:2
where 5 , 4 and 12 are the keys and 3, 1 and 2 are the values
As we can see that the largest key is 12. So in order to find the largest key we use max() method which returns the largest key in the dictionary and we also use keys() which returns a view object i.e. the key of dictionary. So
max(d.keys()) as a whole gives 12
Next d[max(d.keys())] returns the corresponding value of this largest key. The corresponding value is 2 so this entire statement gives 2.
val_of_max = d[max(d.keys())] Thus this complete statement gives 2 and assigns to the val_of_max variable.
Next print(val_of_max) displays 2 on the output screen.
The screenshot of program along with its output is attached.
