Working with Task and Parallel Processing

Harness the power of concurrency in .NET

Posted by Rodrigo Castro on January 26, 2025

.NET provides many ways to run code concurrently and in parallel.

🚀 Task Parallelism

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var task = Task.Run(() => DoWork());
await task;

🔄 Parallel.ForEach

  • Run a loop with iterations in parallel:
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Parallel.ForEach(items, item => Process(item));

🛠️ When to Use What

  • Async/await: For I/O-bound operations (web, file, DB)
  • Parallel: For CPU-bound work (data processing)

⚡ Tips

  • Too much parallelism can overload CPUs/threads.
  • Use cancellation tokens to stop ongoing tasks.

🏁 Combining Techniques

  • You can mix async and parallel for advanced scenarios, but start simple.

Next: Managing threads in scalable applications!