Function list for parallel - My journey to Parallel extension

Today I want to share my failure.. :-). Sometimes the failure make me "better experience"...

These days I am struggling the design patterns and parallel as I claimed design pattern is not parallel friendly. I bet a lot of people won't agree with me. Give me some time and let me think through it.

Let me explain the context; otherwise, you will doubt the rationale behind my test. I found many parallel algorithm or approach is trying to partition the data. how about play function (not data) to achieve parallelism?

Since I am a fan of F#, I really hope the function way will win. Let us wait and see.. :)

the code is

• The first version is to partition data and make parallel. 
• The second version is to apply a function list to the data. 

static void Main(string[] args)

        {

            List< double > a = new List< double >();

            List < double > b = new List < double >();

            Stopwatch sw = new Stopwatch();

            var size = 100000;

            for (int j = 0; j < 100; j++)

            {

                var l = Enumerable.Range(0, size).ToList();

                sw.Reset();

                sw.Start();

                Parallel.For(0, size, i => l[i]++);

                sw.Stop();

                a.Add(sw.ElapsedMilliseconds);

                var f = Enumerable.Range(0, size).Select(i => { return (() => l[i]++); }).ToList();

                sw.Reset();

                sw.Start();

                Parallel.ForEach(f, n => n.Invoke());

                sw.Stop();

                b.Add(sw.ElapsedMilliseconds);

            }

            a.Zip(b, (x, y) => new { x, y }).ToList().ForEach(n => Console.WriteLine("{0}, {1}", n.x, n.y));

        }

First of all, why I need to run 100 times? Parallel is based on some random factor, if we only run once, the result is not accurate. 

The results shows data partition version wins.. :-(

the first version is so simple, so the second version's function invoke fails me.. (sigh). But anyway I tried my luck..