C# Concurrency and Parallelism In Depth

Due to the high demand and interest in this topic, I decided to write this, more in-depth article about Concurrency and Parallelism.

Concurrency and parallelism are essential concepts in modern programming, especially when it comes to improving application performance and responsiveness. This comprehensive guide will walk you through the essentials of concurrency and parallelism in C#, making it your go-to resource for mastering these concepts as a beginner.

We’ll cover everything from the basics to best practices, providing code samples and references to documentation along the way.

Concurrency and Parallelism: Understanding the Differences

Before diving into C# specifics, it’s essential to understand the differences between concurrency and parallelism.

Concurrency refers to the execution of multiple tasks over a period of time, but not necessarily simultaneously. In a concurrent system, tasks may start, run, and complete in overlapping time periods. Concurrency can be achieved on a single-core processor through context-switching, where the processor rapidly switches between tasks, giving the illusion that they’re running simultaneously.