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The Parallel class represents a significant advancement in parallelizing managed loops.  For many common scenarios, it just works, resulting in terrific speedups.  However, while ideally Parallel.For could be all things to all people, such things rarely work out, and we’ve had to prioritize certain scenarios over others.One area Par...

The core entity in the Task Parallel Library around which everything else revolves is System.Threading.Tasks.Task.  The most common way of creating a Task will be through the StartNew method on the TaskFactory class, a default instance of which is exposed through a static property on Task, e.g. var t = Task.Factory.StartNew(() => {  &n...

The Task Parallel Library is centered around the Task class and its derived Task<TResult>. The main purpose of these types is to represent the execution of an asynchronous workload and to provide an object with a means to operate on that workload, whether it be to wait for it, to continue from it, or the like. The primary type of asynchronous...

Prior to the .NET Framework 2.0, unhandled exceptions were largely ignored by the runtime.  For example, if a work item queued to the ThreadPool threw an exception that went unhandled by that work item, the ThreadPool would eat that exception and continue on its merry way.  Similarly, if a finalizer running on the finalizer thread threw a...

In .NET 4, the new Parallel class provides For, ForEach, and Invoke methods for performing operations in parallel. One mental model that some folks use when thinking about Parallel.For is that it’s equivalent to running one System.Threading.Tasks.Task per iteration, e.g. that a loop like: Parallel.For(0, N, i => {   &n...

Along with the release of the .NET Framework 4 Beta 1, we've just published a slew of samples that demonstrate using Parallel Extensions in a variety of ways.  You can download these from Code Gallery at https://code.msdn.microsoft.com/ParExtSamples.These samples include raytracers, a sudoku game, an image colorization algorithm, solvers for t...

It’s very common in a parallel application to need random numbers for this or that operation.  For situations where random numbers don’t need to be cryptographically-strong, the System.Random class is typically a fast-enough mechanism for generating values that are good-enough.  However, effectively utilizing Random in a paral...

Thanks to everyone who attended our PDC pre-conference session yesterday on parallelism and concurrency!  We had a wonderful turnout at the event, and David, Joe, and I all had a terrific time. Attached to this post are the slides we presented. (It turns out that the PDC site does allow you to submit an evaluation for a precon.  If you at...

Parallel Extensions includes the System.Threading.Parallel class, which provides several high-level loop replacement constructs like For and ForEach. In previous blog posts, we've taken a look at implementing other loops, such as for loops with arbitrary initialization, conditional, and update logic, range-based loops, and a parallel while.  T...

When I was at TechEd 2008 Developer last week, I met up with the great Dan Fernandez from Channel 9 to show off Parallel Extensions and to demonstrate some of the sample applications included with our June 2008 CTP.  The cameras were at the ready, so you can see the demonstrations, too: Thanks, Dan!