10 Concurrency and Parallelism Essentials in C# .NET Core
As a software developer working in today’s world of multi-core processors and distributed systems, I’ve found that understanding concurrency and parallelism is essential.
C# .NET Core offers a rich set of tools and libraries for handling concurrency and parallelism, which can lead to better performance and responsiveness in your applications. In this article, we’ll explore the essentials of concurrency and parallelism in C# .NET Core and provide practical examples to help you improve your skills.
Concurrency vs. Parallelism
What is Concurrency?
Concurrency is the ability to execute multiple tasks simultaneously but not necessarily at the same time. In other words, tasks can run independently, and their execution can be interleaved, allowing your application to continue processing while waiting for other tasks to complete.
What is Parallelism?
Parallelism, on the other hand, refers to executing multiple tasks simultaneously in parallel, often by utilizing multiple cores or processors. Parallelism can greatly improve the performance of computationally-intensive tasks and is a cornerstone of modern high-performance computing.
