Here is an example of how to implement the right degree of parallelism in C# using the Task Parallel Library (TPL):
Define the task: Start by defining the task that needs to be executed in parallel.
void Main()
{
List<int> numbers = Enumerable.Range(1, 100).ToList();
Divide the task: Divide the task into smaller, independent subtasks that can be executed simultaneously.
int chunkSize = numbers.Count / 4; // 4 subtasks
Create tasks: Create a task for each subtask using the Task class.
var tasks = new List<Task>();
for (int i = 0; i < 4; i++)
{
int start = i * chunkSize;
int end = (i + 1) * chunkSize - 1;
tasks.Add(Task.Run(() => ProcessNumbers(numbers, start, end)));
}
Wait for tasks to complete: Wait for all tasks to complete using the Task.WaitAll method.
Task.WaitAll(tasks.ToArray());
}
Implement the subtask: Implement the subtask that will be executed by each task.
void ProcessNumbers(List<int> numbers, int start, int end)
{
for (int i = start; i <= end; i++)
{
// Perform some processing on the numbers
}
}
In this example, the task is divided into 4 subtasks, and 4 tasks are created to execute each subtask in parallel. The degree of parallelism is set to 4, which means 4 subtasks will be executed simultaneously. The Task. WaitAll method is used to wait for all tasks to complete before moving on to the next step.
By using the TPL, you can easily implement the right degree of parallelism in C# and achieve efficient processing times.
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