Here is the quick intro to
Parallel.For loop to enable data parallelism and of-course benefits of same.
Parallel.For can be used when we
can execute for loop iterations in parallel. Here source collection is
partitioned and threads are assigned to execute actions.
Example:
Data:
string[]
strArraly = this.textBox1.Text.Split(' '); // textbox1 has a string of approx. 400 words.
int[] lenArray = new int[strArraly.Length];
For Loop:
for (int i = 0; i < strArraly.Length; i++)
{
lenArray[i]
= GetStringLengh(strArraly[i]);
}
Parallel.For
Parallel.For(0, strArraly.Length, i =>
{
lenArray[i]
= GetStringLengh(strArraly[i]);
}
);
Time consuming Method:
private int GetStringLengh(string str)
{
Thread.Sleep(100);
return str.Length;
}
Here if we check the time taken by
for loop and Parallel.For loop, there is huge difference in both. For is
taking around 38 seconds while
Parallel For is taking only 6 second
to execute all iterations. Thus Parallel.For can be very handy in some situations.
