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.
Loop takes only positive numbers and terminates once it encounters a negative numbers.
Answer and Explanation:
Using javascript:
Var positiveInt= window.prompt("insert positive integer");
While(positiveInt>=0){
Alert("a positive integer");
Var positiveInt= window.prompt("insert positive integer");
}
Or we use the do...while loop
Var positiveInt= window.prompt("insert positive integer");
do{
Var positiveInt= window.prompt("insert positive integer");
}
While (positiveInt>=0);
The above program in javascript checks to see if the input number is negative or positive using the while loop condition and keeps executing with each input until it gets a negative input
<span>Normally you would click the right hand/secondary mouse button but you may configure any of the buttons to work within the Keyboard and Mouse section of System Preferences.
Hope this helps:)</span>
If you have only 1 method that is not overloaded, then you will not be able to call it with inappropriate parameter types, that is, if the initial type of the parameter is int, then it will not be able to get the double, float, and other values, because of this an error will occur.
For this, method overloading is created.
Method overloading is when you create methods with the same name, but only the content and parameters of the methods are/can-be completely different.
Answer:
D. The image will require fewer bits in order to be represented.
Explanation:
Lossy compression algorithms are typically better than lossless compression algorithms at reducing the number of bits needed to represent a piece of data.
