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There are many options and variations for expressing PLINQ queries but almost all LINQ-to-Objects expressions can easily be converted to their parallel counterpart by adding a call to the As Parallel extension method.

Another difference is that, unlike a sequential loop, the order of execution isn't defined for a parallel loop.

In typical scenarios, the more cores you have, the faster your loop executes, until you reach the point of diminishing returns that Amdahl's Law predicts. For Each methods as well as for PLINQ, exceptions are collected into an Aggregate Exception object and rethrown in the context of the calling thread. To learn more about exception handling for parallel loops, see the section, "Variations," later in this chapter. Here are some common examples of dependent loop bodies: When you look for opportunities for parallelism, profiling your application is a way to deepen your understanding of where your application spends its time; however, profiling is not a substitute for understanding your application's structure and algorithms.

How much faster depends on the kind of work your loop does. NET implementation of the Parallel Loop pattern ensures that exceptions that are thrown during the execution of a loop body are not lost. For example, profiling doesn't tell you whether loop bodies are independent. Fabrikam Shipping extends credit to its commercial accounts.

Use the Parallel Loop pattern when you need to perform the same independent operation for each element of a collection or for a fixed number of iterations.

The steps of a loop are independent if they don't write to memory locations or files that are read by other steps.

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