How Can I Efficiently Use `await` in Parallel.ForEach Lambdas for Asynchronous Parallel Processing?

Optimizing Asynchronous Parallel Processing using Lambda Expressions

Parallel processing significantly boosts computational speed by distributing tasks across multiple threads. However, efficiently incorporating asynchronous operations within parallel loops can be complex. This article demonstrates how to effectively use the await keyword within lambda expressions inside Parallel.ForEach loops.

The conventional approach, often seen in examples, involves synchronously waiting for each asynchronous task using Wait(). While functional, this negates the advantages of asynchronous programming by requiring explicit exception handling and preventing optimization.

A superior method leverages the Select() method to generate a collection of tasks representing the asynchronous lambda executions. These tasks are then awaited concurrently using Task.WhenAll(), guaranteeing completion before accessing shared resources, such as a ConcurrentBag. This approach ensures true asynchronous parallelism and avoids blocking threads.

For more sophisticated asynchronous parallel processing needs, refer to Stephen Toub's insightful "ForEachAsync" blog post for advanced techniques and best practices.

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