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The GUI of the application consists of a multiline TextBox and a single Button (named btnProcessImages). The purpose of the text area is to allow you to enter data while the work is being performed in the background, thus illustrating the non-blocking nature of the parallel task. The Click event of this Button will eventually make use of the TPL, but for now, author the following blocking code: public partial class MainForm : Form { public MainForm() { InitializeComponent(); } private void btnProcessImages_Click(object sender, EventArgs e) { ProcessFiles(); } private void ProcessFiles() { // Load up all *.jpg files, and make a new folder for the modified data. string[] files = Directory.GetFiles (@"C:\Users\AndrewTroelsen\Pictures\My Family", "*.jpg", SearchOption.AllDirectories); string newDir = @"C:\ModifiedPictures"; Directory.CreateDirectory(newDir); // Process the image data in a blocking manner. foreach (string currentFile in files) { string filename = Path.GetFileName(currentFile); using (Bitmap bitmap = new Bitmap(currentFile)) { bitmap.RotateFlip(RotateFlipType.Rotate180FlipNone); bitmap.Save(Path.Combine(newDir, filename)); this.Text = string.Format("Processing {0} on thread {1}", filename, Thread.CurrentThread.ManagedThreadId); } } this.Text = "All done!"; } } Notice that the ProcessFiles() method will rotate each *.jpg file under my personal Pictures\My Family subdirectory, which currently contains a total of 37 files (be sure to update the path sent into Directory.GetFiles() as necessary). Currently, all of the work is happening on the primary thread of the executable. Therefore, if the button is clicked, the program will appear to hang. Furthermore, the caption of the window will also report that the same primary thread is processing the file (Figure 19- 4).

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Figure 19-4. Currently, all action is taking place on the primary thread To process the files on as many CPUs as possible, you can rewrite the current foreach loop to make use of Parallel.ForEach(). Recall that this method has been overloaded numerous times, however in the simplest form, you must specify the IEnumerable<T> compatible object that contains the items to process (that would be the files string array) and an Action<T> delegate which points to the method that will perform the work. Here is the relevant update, using the C# lambda operator, in place of a literal Action<T> delegate object: // Process the image data in a parallel manner! Parallel.ForEach(files, currentFile => { string filename = Path.GetFileName(currentFile); using (Bitmap bitmap = new Bitmap(currentFile)) { bitmap.RotateFlip(RotateFlipType.Rotate180FlipNone); bitmap.Save(Path.Combine(newDir, filename)); this.Text = string.Format("Processing {0} on thread {1}", filename, Thread.CurrentThread.ManagedThreadId); } } ); Now, if you run program, the TPL will indeed distribute the workload to multiple threads from the thread pool, using as many CPUs as possible. However, you will not see the window s caption display the name of each unique thread and you won t see anything if you type in the text box, until all the images have been processed! The reason is that the primary UI thread is still blocked, waiting for all of the other threads to finish up their business.

To keep the user interface responsive, you could certainly make use of asynchronous delegates or the members of the System.Threading namespace directly, but the System.Threading.Tasks namespace provides a simpler alternative, via the Task class. Task allows you to easily invoke a method on a

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