public override void Main(string[] args)
{
var tasks = Enumerable.Range(0, _threadCount)
.Select(threadId => Task.Run(() => Run(_data[threadId], threadId)))
.ToArray();
Console.WriteLine(tasks.Length);
Task.WaitAll(tasks);
var result = new BuddhabrotResult {
Data = _data
};
var json = result.SerializeResult();
File.WriteAllText("/home/stu10/s3/acf5118/json" + _id + ".txt", json);
AddResult(new FileResult {
Filename = "/home/stu10/s3/acf5118/json" + _id + ".txt"
});
}
public override void RunFinalTask()
{
var totalMatrix = new double[Width * Height];
foreach (var jobResult in Results)
{
var r = jobResult as FileResult;
JObject o1 = JObject.Parse(File.ReadAllText(r.Filename));
BuddhabrotResult b = o1.ToObject <BuddhabrotResult>();
if (b == null)
{
return;
}
Parallel.For(0, b.Data[0].Length, i => { totalMatrix[i] = b.Data.Sum(x => x[i]); });
}
var limit = Brighten(totalMatrix);
// ImageSharp Lib for .NET core images
var img = new Image(Width, Height);
var pixels = img.Lock();
for (var y = 0; y < Height; y++)
{
Parallel.For(0, Width, x =>
{
var val = totalMatrix[x + y * Width] / limit * 256;
if (val > 255)
{
val = 255;
}
// ImageSharp lib
//pixels[x, y] = new Rgba32((byte)(val), (byte)(val), (byte)(val));
pixels[x, y] = new Rgba32(0, (byte)(val), 0);
});
}
img.Save("distributed.jpg");
}
