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// add up all the negative values that int can represent long negTotal = 0; for (int i = 0; i > int.MinValue; i--) { negTotal += i; } // add the result values together long combinedTotal = posTotal + negTotal; // stop the timer timer.Stop(); // print out the total time Console.WriteLine("Elapsed time: {0}", timer.Elapsed); Console.WriteLine("Positive total {0}", posTotal); Console.WriteLine("Negative total {0}", negTotal); Console.WriteLine("Combined total {0}", combinedTotal); // wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } } There are two for loops in Listing 24-1. The first sums a series of positives integer values and the second sums a series of negative integer values. When both for loops have completed, the individual results are combined to produce an overall result. I have used the StopWatch class, described in 22, to measure how long it takes to complete these tasks. Because this is a sequentially executed program, each step will be performed in order, as illustrated by Figure 24-1.



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What Is IRIS OCR Software ? If you discover IRIS OCR software on your computer, don't panic. It's not a virus, and if you don't need it, you can remove it without crashing your system. Optical character recognition software works with a scanner to generate digital files that can be searched for words or phrases.

Figure 24-1. Sequential execution, visually Compiling and running Listing 24-1 produces the following output: Elapsed time: 00:00:15.3397309 Positive total 2305843005992468481 Negative total -2305843008139952128 Combined total -2147483647 Press enter to finish The disadvantage of sequential programming is that you cannot make use of the ability of modern hardware to execute more than one thread at a time, and this limits the performance of your application. Multi-core/multi-processor hardware is very common these days, and sequential programming is unable to take advantage of this sharp increase in computing power.





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The alternative to sequential execution is parallel execution. The program starts with one thread doing all the work, but you use the TPL to create additional threads to take on some of the work and speed things up. The terms parallel execution or parallel programming are used because more than one code statement is executed at a time. The term multi-threaded programming is used because there is more than one thread at work in your program. Listing 24-2 demonstrates the application of the TPL to your int summing example. Listing 24-2. Parallel Execution using System; using System.Diagnostics; using System.Threading.Tasks; class Listing 02 { static void Main(string[] args) { // create and start a new StopWatch Stopwatch timer = Stopwatch.StartNew(); // add up all the positive values that int can represent Task<long> positiveTask = Task<long>.Factory.StartNew(() => { long posTotal = 0; for (int i = 0; i < int.MaxValue; i++) { posTotal += i; } return posTotal; }); // add up all the negative values that int can represent Task<long> negativeTask = Task<long>.Factory.StartNew(() => { long negTotal = 0; for (int i = 0; i > int.MinValue; i--) { negTotal += i; } return negTotal; }); // add the result values together long combinedTotal = positiveTask.Result + negativeTask.Result; // stop the timer timer.Stop(); // print out the total time Console.WriteLine("Elapsed time: {0}", timer.Elapsed); Console.WriteLine("Positive total {0}", positiveTask.Result); Console.WriteLine("Negative total {0}", negativeTask.Result); Console.WriteLine("Combined total {0}", combinedTotal);

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// wait for input before exiting Console.WriteLine("Press enter to finish"); Console.ReadLine(); } } There are eight changes required to Listing 24-1 to create Listing 24-2 and some of those changes are very small, such as a new using statement. Don t worry about the meaning of those changes for the moment; I ll explain how to use the Task class you see in Listing 24-2 as you proceed through the chapter. For the moment, it is enough to know that the Task class represents a new thread of execution an additional worker to speed things up. When Listing 24-2 is compiled and executed, it starts off as a regular sequentially executed program. But rather than execute the for loops itself, the single thread creates Task objects to handle the work on its behalf. These Task objects execute the for loops simultaneously, as illustrated by Figure 24-2.

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Figure 24-2. Parallel execution, visually The calculations to determine the positive total happen at the same time as the calculations to determine the negative total. The initial thread waits for the Task objects to complete their work and then combines the individual results to create the overall total. As Figure 24-2 demonstrates, you have added additional steps to the program, but because two of those steps are performed at the same time, the overall performance will improve. Compiling and running Listing 24-2 produces the following results: Elapsed time: 00:00:07.7404294 Positive total 2305843005992468481 Negative total -2305843008139952128 Combined total -2147483647 Press enter to finish Listing 24-2 completed in less than 8 seconds, as opposed to the 15 seconds it took for Listing 24-1 to complete. With a few small changes, the performance has almost doubled. These results come from a four-core Windows 7 machine; your results will vary based on the hardware and software configuration of your computer(s).

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