This site uses cookies for analytics, personalized content. By continuing to browse this site, you agree to this use. Learn More
All about Async/Await, System.Threading.Tasks, System.Collections.Concurrent, System.Linq, and more…
October 15, 2010Oct 15, 201010/15/10We’ve seen a number of folks write the following code to execute
on the UI thread and get unexpected behavior.
TaskScheduler uiScheduler = TaskScheduler.FromCurrentSynchronizationContext();
Task uiTask = Task.Factory.StartNew(delegate{ // … Update UI component; BUG!}, uiScheduler);
The issue is that the StartNew call will bind to the
following overload…
August 5, 2010Aug 5, 201008/5/10Recall that if exceptions thrown from Task bodies are left unobserved, they will be escalated. In .NET 4, this means that TPL will throw them on the finalizer after the Task objects are available for garbage collection. The UnobservedTaskException event on the TaskScheduler class was added as a last-resort method to observe such exceptions and prevent them from crashing the process.
March 2, 2010Mar 2, 201003/2/10.NET 2.0 introduced Generics to allow enhanced code reusability and type safety. Since then, generic collections (IEnumerable<T>, List<T>, Dictionary<T>, etc.) have become standard and are recommended over their non-generic counterparts (IEnumerable, ArrayList, HashTable, etc.). As a result, Parallel.ForEach only supports generic collections,
February 11, 2010Feb 11, 201002/11/10The new parallelization support in the .NET Framework 4 is implemented purely in libraries and the runtime and does not require special compiler support. Therefore, it is available to all compliant .NET languages. This includes all of the managed languages that ship as part of Visual Studio 2010 (Visual C#,
January 26, 2010Jan 26, 201001/26/10(This answer is based on the .NET Framework 4. As the details below are undocumented implementation details, they may change in future releases.)
No. All of the collections in the new System.Collections.Concurrent namespace employ lock-free techniques to some extent in order to achieve general performance benefits,
January 19, 2010Jan 19, 201001/19/10All of these terms are overloaded, even in the context of parallel computing. However, we’ve used them extensively to describe how well our parallel algorithms and demo applications work. And sometimes, we throw them around carelessly on the blog, forums, etc.,
January 11, 2010Jan 11, 201001/11/10The following code correctly observes and handles a Task exception and should print “gotcha!” to the console. By default though, the Debugger will report a crash.Task t = Task.Factory.StartNew(() => { throw new Exception(“poo”); });
try { t.Wait(); }
catch (AggregateException) { Console.WriteLine(“gotcha!”);
January 5, 2010Jan 5, 201001/5/10We’ll be regularly posting answers to frequently asked questions that we’ve gotten on the forum, internal email lists, etc. Here’s the first – enjoy!
Why is the speedup not X on my X-way machine? Or, why does my parallel code run slower?
