Advanced Data Parallelism
Understand how to use modern C# features like Parallel.ForEachAsync for I/O-bound workloads, async streams for continuous data processing, and thread-safe collections such as ConcurrentDictionary. Learn to manage concurrency efficiently while avoiding common pitfalls in data parallelism and threading.
Previously, we used lock and Monitor to protect shared resources and Parallel.ForEach to speed up CPU-bound loops. However, these older approaches have limitations:
Parallel.ForEachblocks the calling thread, which makes it poor for I/O operations like calling APIs.Manual locking is error-prone and can create bottlenecks.
Standard collections like
ListandDictionaryare not thread-safe.
Modern .NET provides specialized tools to handle these scenarios efficiently without blocking threads or writing complex lock logic.
Async parallel loops (Parallel.ForEachAsync)
Introduced in modern .NET, Parallel.ForEachAsync is the asynchronous counterpart to Parallel.ForEach. It is designed ...