C# Multi-Threading

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Good day all,

I have an application that needs to run a specific function up to 100,000 times. A function called Calculate() has within it an iteration loop that runs 100,000 times.

Currently doing this takes 104 seconds. What I would like to be able to do it rather than have it set at 100,000 iterations, have it set at 4,000 and run Calculate() seperately on 25 threads.

C#

public void Calculate()
        {
            int iterate = 0;
            
            
            while (iterate < 4000)
            {
                    
                //Do Work

                iterate++;
            }
            
        }

Can anyone explain using my example above how I can do this?

Your time is very much appreciated,

Mike.

Posted 27-May-10 0:07am

Jibrohni

Updated 27-May-10 2:25am

Tom Deketelaere

v2

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Tony Richards · Answer 1 · 2010-05-27T03:18:00

Solution 1

It looks like you could replace that function with a for loop. If so you could try using the new Parallel class in .Net 4. You won't have to split the tasks up yourself as I believe it includes it's own 'load balancing' for threads.

Posted 27-May-10 3:18am

Tony Richards

Anıl Yıldız · Answer 2 · 2010-05-27T12:09:00

Solution 2

Like Tony said, if you can use .NET 4, you could use the new Parallel stuff. I started using that myself, almost reduces the elapsed time by half on my dual core processor. Here is a good article how to do it. Considering your code example:

MIDL

public void Calculate()
        {
            System.Threading.Tasks.Parallel.For(0, 100000,
                i =>
                {
                    //You have access to i here
                    //Do work.
                }
            );
        }

Hope that helps,
Anıl Yıldız.

Posted 27-May-10 12:09pm

Anıl Yıldız

Comments

William Winner 27-May-10 18:12pm

well since, theoretically, it can now use both cores instead of one, you would expect it to be reduced about in half...there's a bit more overhead, so not exactly half, but close.

Anıl Yıldız 27-May-10 18:15pm

Indeed, thats the "almost" keyword was for.

Jibrohni 28-May-10 5:54am

Thanks to both. I managed to get it runnning on 8 seperate threads (seemed to give the quickest results). What started at 1 min 40 is now down to 26 seconds. I'm going to start again as I'm still perfecting my use of encapsulation amongst other concepts.

I had a quick look at the parallel For but it's still a little above my station. I'll repost when I get back to this point, hopefully I'll have streamlined my code as I want it ideally down to no more than 10 seconds.