parallel.foreach

What are the differences between using Parallel.ForEach or Task.Run() to start a set of tasks asynchronously? Version 1: List<string> strings = new List<string> { "s1", "s2", "s3" }; Parallel.ForEach(strings, s => { DoSomething(s); }); Version 2: List<string> strings = new List<string> { "s1", "s2", "s3" }; List<Task> Tasks = new List<Task>(); foreach (var s in strings) { Tasks.Add(Task.Run(() => DoSomething(s))); } await Task.WhenAll(Tasks); In this case, the second method will asynchronously wait for the tasks to complete instead of blocking. However, there is a disadvantage to use Task.Run

I am a bit of confused about Parallel.ForEach . What is Parallel.ForEach and what does it exactly do? Please don't reference any MSDN link. Here's a simple example : string[] lines = File.ReadAllLines(txtProxyListPath.Text); List<string> list_lines = new List<string>(lines); foreach (string line in list_lines) { //My Stuff } How can I rewrite this example with Parallel.ForEach ? L.B string[] lines = File.ReadAllLines(txtProxyListPath.Text); List<string> list_lines = new List<string>(lines); Parallel.ForEach(list_lines, line => { //Your stuff }); Jignesh.Raj Foreach loop: Iterations takes place

I have a Parallel.ForEach() async loop with which I download some webpages. My bandwidth is limited so I can download only x pages per time but Parallel.ForEach executes whole list of desired webpages. Is there a way to limit thread number or any other limiter while running Parallel.ForEach? Demo code: Parallel.ForEach(listOfWebpages, webpage => { Download(webpage); }); The real task has nothing to do with webpages, so creative web crawling solutions won't help. You can specify a MaxDegreeOfParallelism in a ParallelOptions parameter: Parallel.ForEach( listOfWebpages, new ParallelOptions {