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Ideally, each CPU should be given work in lumps that are large enough to minimize context switching and synchronization overheads, but small enough that each CPU can be kept busy while there s work to be done This chunking is one reason why data parallelism can sometimes be more efficient than using tasks directly the parallelism gets to be exactly as fine-grained as necessary and no more so, minimizing overheads Arguably, calling Example 16-24 data parallelism is stretching a point the data here is just the numbers being fed into the calculations ParallelFor is no more or less dataoriented than a typical for loop with an int loop counter it just iterates a numeric variable over a particular range in a list However, you could use exactly the same construct to iterate over a range of data instead of a range of numbers Alternatively, there s Parallel.

ForEach, which is very similar in use to ParallelFor, except, as you d expect, it iterates over any IEnumerable<T> like a C# foreach loop, instead of using a range of integers It reads ahead into the enumeration to perform chunking (And if.

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'FROM orders WHERE userid= AND order_month= '); $ps->execute(array($current_user_id, $month)); The main difference from the Java API is that in this usage of the PHP API, the actual parameters are not explicitly typed (ie, $month might actually be a string) However, if the actual parameter does not represent an integer, the type mismatch would be detected at the time the statement is executed6 While bind variables can help maintain the distinction between code and data, vigilance is still required If user input is used to construct any part of the query, it may be possible for an attack to be successful For instance, let s say that your manager asks one of your colleagues to make a change to your code one day prior to launch to allow users to query past pizza orders by both month and year.

you provide it with an IList<T> it will use the list s indexer to implement a more efficient partitioning strategy.) There s another way to perform parallel iteration over enumerable data: PLINQ.

At the top, you have a VCR-like interface with buttons Go, Save, Reset, and More. Below the media-like interface are editable fields from the blocks contained in the mashup. Notice that you can t change the connections between blocks and how they interact. For the photo mashup, you can change the fields for two blocks: User Input and Flickr. Remember, the Photo mashup searches Flickr s photo collection using the keywords entered in the User Input block. The User Input block has the label , defaultText , and buttonText fields available. Flickr has only the number field, which represents the maximum amount of photos to retrieve during the search. Click the Go button without making any changes. Look at Figure 6-4. Without any modifications, the mashup runs as expected. Let s make some tweaks. Change the defaultText to Dogs and the buttonText to I love Dogs!. Click the Go button to see the results of the changes, shown in Figure 6-5.

When you invoke a method, the CLR allocates some memory to keep track of that method s state. This state includes incoming arguments and local variables. When a method calls out to another method, the method state also remembers where we were in the calling method s code to be able to carry on later. If you have nested method calls if a first method calls a second method which calls a third method, for example you end up with a sequence of method states, and this sequence is often referred to as the call stack. In general, a stack is a sequence of items where you can add or remove items only at the end of the sequence; by convention, we use the terms push and pop to describe adding and removing stack items. So when C# code invokes a new method, it pushes a new method state record onto the call stack. When the method returns, either because execution reaches the end or because we ve hit a return statement, the current method state is popped from the call stack, and then execution resumes from where the previous method state record says the calling method had reached. You can look at the call stack in the Visual Studio debugger. The Debug Windows Call Stack menu item displays a window showing a list of all the current methods in the call stack. You can double-click on any of these items to see the current location, and if you ve opened any of the debug windows that show local variable state from the Debug Windows menu, these will show local variables for the method you select.

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