Summary
In this chapter, we looked at how to use TPL and PLINQ to execute code in parallel. At this point, we understand that the main difference between TPL and PLINQ is that TPL does not efficiently utilize all the cores on a computer, whereas PLINQ does.
We also saw how we can view the computer’s CPU utilization. Using PLINQ enables us to utilize all the cores of a CPU efficiently to improve code performance. However, when benchmarking parallel code, we saw that it is sometimes faster than non-parallel code, while other times, it is faster. Therefore, it pays to benchmark your code to see what method works best for you.
We also reviewed a piece of code that demonstrates the use of lambda expressions for expressing both Func and Action delegates.
Finally, we looked at debugging parallel applications with a code sample that employed the Parallel Tasks window, the Tasks pane, and the Concurrency Visualizer.
In the next chapter, we will look at asynchronous programming...
