Parallel.ForEach vs Task.Factory.StartNew

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The first is a much better option.

Parallel.ForEach, internally, uses a Partitioner<T> to distribute your collection into work items. It will not do one task per item, but rather batch this to lower the overhead involved.

The second option will schedule a single Task per item in your collection. While the results will be (nearly) the same, this will introduce far more overhead than necessary, especially for large collections, and cause the overall runtimes to be slower.

FYI – The Partitioner used can be controlled by using the appropriate overloads to Parallel.ForEach, if so desired. For details, see Custom Partitioners on MSDN.

The main difference, at runtime, is the second will act asynchronous. This can be duplicated using Parallel.ForEach by doing:

Task.Factory.StartNew( () => Parallel.ForEach<Item>(items, item => DoSomething(item)));

By doing this, you still take advantage of the partitioners, but don’t block until the operation is complete.

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