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Figure 21-18. Proportional resizing To implement this design, follow these steps: 1. Add a TableLayoutPanel. Define the basic structure by setting RowCount to 1 and ColumnCount to 2. 2. Size the TableLayoutPanel to fill most of the form, and then set its Anchor property so it s anchored to all four sides of the form and will grow as the form is resized. 3. Add a control on each side (such as a TreeView on the left and ListView on the right). Set the Dock property of each control to Fill. If you wanted to add multiple controls, you would use Panel controls instead and add anchored controls inside each panel.

Figure 7-48. Warning that no initialized disks could be found If you have already configured your disks or are using existing disks, you can skip ahead to the Completing the Restore section. If you need to initialize the disks before continuing, follow the instructions in the next section.

4. Edit the ColumnStyles collection of the TableLayoutPanel (which is exposed in the Properties window as the Columns collection) so that each column uses SizeType.Percent. You can then choose appropriate percentages (in this example the space is split with the 50 percent columns).

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The TableLayoutPanel makes great sense for columns of settings that need to be laid out in a grid. To model this sort of window, you could use a two-column TableLayoutPanel with labels on the left and an input control (text box, drop-down list box, etc.) on the right. The label column should size to fit the largest label. The text box column should fill all the remaining space. Figure 21-19 shows an example.

Data parallelism relies on executing a single function in parallel with varying data inputs. This breaks work into discrete units, so it can be processed in parallel, on separate threads, ensuring that work can be partitioned between the available processors. Typically this means processing a collection of data in parallel. This method takes advantage of the fact that the items in the collection provide a natural way to partition the work. In the simplest case, a parallel map function, you apply a transformation to each item in the collection, and the results form a new collection. This simple case generally works because each item in the collection can typically be processed independently and in any order. It s also possible to use this technique to handle more complex scenarios, such as summing all the items in a list; however, it can also prove tricky for some complex cases, and the processing order can take on added significance. Data parallelism typically relies on libraries and frameworks to provide parallel processing. Although they use multiple threads or processes to provide the parallelism, parallelism doesn t typically require the user to create or control these threads explicitly; instead, it s the job of the library or framework to do this. Work units can be distributed between different physical machines that form a computing grid; for the sake of simplicity and because multicore systems are becoming more common

Figure 21-19. A list of settings To implement this design, follow these steps: 1. Add a TableLayoutPanel. Define the basic structure by setting RowCount to 1 and ColumnCount to 2. 2. Size the TableLayoutPanel to fill most of the form, and then set its Anchor property so it s anchored to all four sides of the form and will grow as the form is resized. Don t add any controls instead, the labels and buttons will be inserted programmatically. 3. Edit the ColumnStyles collection of the TableLayoutPanel. The first column should use AutoSize resizing mode so that it grows to fit the largest label. The sizing mode for the second column isn t important, as it will automatically be sized to fit whatever space remains.

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