Parallel programming helps create more efficient, scalable and responsive systems. Let’s explore five native ASP.NET Core features for dealing with parallelism.

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Explores five native ASP.NET Core features for implementing parallel programming to improve application performance and scalability. Covers Parallel.ForEach, Parallel.Invoke, Task.WhenAll/WhenAny, Task.Run, and Parallel.ForEachAsync with practical examples. Explains the difference between parallelism and asynchrony, demonstrating how to combine both approaches for CPU-bound and I/O-bound operations. Includes performance comparisons showing significant time reductions when using parallel execution over sequential processing.

Understanding Parallel Programming in ASP.NET Core

Understanding the Concept of Parallel Programming

To make the analogy with the washing clothes and cooking a bit more clear:
If the person represents the CPU, then we can’t truly have parallelism—because with only one core, the CPU (the person) can only do one thing at a time. What this analogy actually describes best is concurrency: the person switches between cooking and checking the laundry, giving the appearance that both are happening at once, even though only one task is being actively worked on at any moment.
Now, if we imagine that each person represents a CPU core, then executing the tasks in parallel would mean calling a friend to help: while you’re doing the washing, your friend is cooking. That’s true parallelism—multiple tasks happening at the same time, each handled by a separate core (person).
If the idea is that CPU1 is the person doing the cooking and CPU2 is the washing machine handling laundry automatically, then that works as a parallelism example too—but it’s less intuitive imo