C# / C# Multithreading and Concurrency
Parallel Programming in C#
In this tutorial, we will delve into parallel programming in C#. You'll learn how to break down tasks into independent subtasks that can be processed simultaneously, improving you…
Section overview
5 resourcesExplores multithreading concepts and techniques for concurrent execution in C#.
1. Introduction
This tutorial aims to introduce you to the concept of parallel programming in C#. We'll break down tasks into independent subtasks that can be processed simultaneously to improve your application's performance.
By the end of this tutorial, you will:
- Understand the basics of parallel programming in C#
- Be able to write your own parallel programs in C#
- Know how to optimize your programs for better performance
Prerequisites
This tutorial assumes you have a basic understanding of C# programming. If you're new to C#, you may want to first go through a basic C# tutorial.
2. Step-by-Step Guide
Parallel programming is about executing multiple tasks at the same time. This is done by dividing a problem into discrete, independent tasks that can be executed in parallel.
Basic Concepts
In C#, the System.Threading.Tasks namespace provides the Parallel class, which has static methods for parallel implementations like For and ForEach loops.
Parallel.For loop
The Parallel.For loop works just like a regular for loop, but the iterations are executed in parallel:
Parallel.For(0, 10, i => {
Console.WriteLine(i);
});
Parallel.ForEach loop
The Parallel.ForEach loop is a parallel version of the foreach loop:
var numbers = new List<int> {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
Parallel.ForEach(numbers, number => {
Console.WriteLine(number);
});
Task class
The Task class represents a single operation that does not return a value and that usually executes asynchronously. Task instances are created by the Task.Factory.StartNew method:
Task.Factory.StartNew(() => {
// Code to execute in parallel
});
Best Practices and Tips
- Always try to use the
Parallel.FororParallel.ForEachloops when you can, because they're easier to use and read. - Be careful with shared data. When multiple tasks are accessing and changing the same data, it can lead to unpredictable results.
3. Code Examples
Example 1: Parallel.For loop
Parallel.For(0, 10, i => {
Console.WriteLine($"Parallel.For: {i}");
});
This code will print the numbers from 0 to 9 in no particular order, because the iterations are being executed in parallel.
Example 2: Parallel.ForEach loop
var numbers = new List<int> {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
Parallel.ForEach(numbers, number => {
Console.WriteLine($"Parallel.ForEach: {number}");
});
This code will print the numbers from the list in no particular order, because the iterations are being executed in parallel.
4. Summary
In this tutorial, you learned about parallel programming in C#. You learned how to use the Parallel.For and Parallel.ForEach loops and the Task class to execute code in parallel.
Next Steps
To further your understanding of parallel programming in C#, you should try to apply these concepts in your own projects.
Additional Resources
5. Practice Exercises
These exercises will help you practice the concepts you've learned.
- Write a program that uses a
Parallel.Forloop to print the numbers from 0 to 100. - Write a program that uses a
Parallel.ForEachloop to print all the elements in a list of strings. - Write a program that uses the
Taskclass to execute three different operations in parallel.
Solutions and Explanations
- This code will print the numbers from 0 to 100 in no particular order:
Parallel.For(0, 101, i => {
Console.WriteLine(i);
});
- This code will print all the strings from the list in no particular order:
var strings = new List<string> {"one", "two", "three", "four", "five"};
Parallel.ForEach(strings, str => {
Console.WriteLine(str);
});
- This code will execute three operations in parallel:
Task.Factory.StartNew(() => {
Console.WriteLine("Task 1");
});
Task.Factory.StartNew(() => {
Console.WriteLine("Task 2");
});
Task.Factory.StartNew(() => {
Console.WriteLine("Task 3");
});
Tips for Further Practice
Try to use parallel programming in your own projects, and experiment with different numbers of tasks to see how it affects the performance.
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