The Task Parallel Library (TPL) simplifies the process of adding parallelism and concurrency to applications: Parallel.ForEach distributes items across CPU threads.
C# Parallel Programming with Tasks
Execute concurrent operations in parallel using Task.WhenAll and Parallel.ForEach.
Key Takeaways: C# Parallel Programming with Tasks
Mastering C# Parallel Programming with Tasks helps you write clean and reliable C# code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.
C# Parallel Programming with Tasks Code Example
C#using System;
using System.Threading.Tasks;
class Program {
static async Task Main() {
var task1 = Task.Delay(50).ContinueWith(_ => "Service A");
var task2 = Task.Delay(50).ContinueWith(_ => "Service B");
string[] results = await Task.WhenAll(task1, task2);
Console.WriteLine($"Completed: {string.Join(" & ", results)}");
}
}Output
Completed: Service A & Service B
Run this example on your own computer. The "Get Started" lesson shows how to set it up.
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