Angel \”Java\” Lopez on Blog

December 17, 2008

Fractal application revisited

Filed under: .NET, C Sharp — ajlopez @ 9:46 am

This year, I wrote a fractal demo application using DSS/CCR

Distributed Agents and Fractals using DSS/VPL

Now, I’m exploring parallel execution using Task Parallel Library, threads, or MPI (Message Passing Interface). But before writing new versions of fractal app using parallel programming, I added to my ajcodekatas Google code, a base application, WinForm Fractal, that generates fractal images using the GUI thread:


There is a class library, with core classes, and a WinForm project, that uses a Calculator object to calculate a Sector of fractal. An excerpt of that invocation:


private void Calculate() { Bitmap bitmap = new Bitmap(pcbFractal.Width, pcbFractal.Height); pcbFractal.Image = bitmap; pcbFractal.Refresh(); realWidth = realDelta * pcbFractal.Width; imgHeight = imgDelta * pcbFractal.Height; realMin = realCenter - realWidth / 2; imgMin = imgCenter - imgHeight / 2; int width = pcbFractal.Width; int height = pcbFractal.Height; SectorInfo sectorinfo = new SectorInfo() { FromX = 0, FromY = 0, Width = width, Height = height, RealMinimum = realMin, ImgMinimum = imgMin, Delta = realDelta, MaxIterations = colors.Length, MaxValue = 4 }; Calculator calculator = new Calculator(); Sector sector = calculator.CalculateSector(sectorinfo); this.DrawValues(sector.FromX, sector.FromY, sector.Width, sector.Height, sector.Values); }

Run Fractal.GUI project, and click on Calculate:

You can drag the mouse to select a zone. Releasing the mouse, a new image is generated. You can change the colors, that are randomly selected:

Next Steps

I want to add new versions:

– Multithread version

– Parallel version using Task Parallel Library

– Distributed version (MPI.NET? AjMessages?)

If you are impatient, there is an excellent tutorial, implementing a fractal application using HPC 2008 and the above technologies, ready to download from:

Learning Parallel Programming — from shared-memory multi-threading to distributed-memory multi-processing

Suggestions, comments, welcome!

Angel “Java” Lopez

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