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if n <= 0 then s else repeatMultipleTimes (n-1) f (f s) // Burn some additional cycles to make sure it runs slowly enough let rec burnSomeCycles n f s = if n <= 0 then f s else ignore (f s); burnSomeCycles (n-1) f s let step = (repeatMultipleTimes 500 (burnSomeCycles 1000 fibOneStep)) // Create the iterative worker. let worker = new IterativeBackgroundWorker<_>(step,(1I,1I),80) worker.ProgressChanged.Add(fun (progressPercentage,state)-> progress.Value <- progressPercentage) worker.WorkerCompleted.Add(fun (_,result) -> progress.Visible <- false; text.Text <- "Paused"; MessageBox.Show(sprintf "Result = %A" result) |> ignore) worker.WorkerCancelled.Add(fun () -> progress.Visible <- false; text.Text <- "Paused"; MessageBox.Show(sprintf "Cancelled OK!") |> ignore) worker.WorkerError.Add(fun exn -> text.Text <- "Paused"; MessageBox.Show(sprintf "Error: %A" exn) |> ignore) form.Menu <- new MainMenu() let workerMenu = form.Menu.MenuItems.Add("&Worker") workerMenu.MenuItems.Add(new MenuItem("Run",onClick=(fun _ args -> text.Text <- "Running"; progress.Visible <- true; worker.RunWorkerAsync()))) workerMenu.MenuItems.Add(new MenuItem("Cancel",onClick=(fun _ args -> text.Text <- "Cancelling"; worker.CancelAsync()))) form.Closed.Add(fun _ -> worker.CancelAsync()) When you run the code in F# Interactive, a window appears, as shown in Figure 13-1.

open System.Threading let t = new Thread(ThreadStart(fun _ -> printfn "Thread %d: Hello" Thread.CurrentThread.ManagedThreadId)); t.Start(); printfn "Thread %d: Waiting!" Thread.CurrentThread.ManagedThreadId t.Join(); printfn "Done!" When run, this gives the following: val t : Thread Thread 1: Waiting! Thread 10: Hello Done!

Note If you re using Linux, you don t need to do this step because the makefile included with the Linux

Note Forcibly aborting computations uncooperatively isn t recommended in .NET programming. You can

attempt to do this using System.Threading.Thread.Abort(), but using this method may have many unintended consequences, discussed later in this chapter.

guaranteed way to put obscure concurrency bugs in your program! The MSDN website has a good description of why Thread.Abort may not even succeed. One of the only compelling uses for Thread.Abort is to implement Ctrl+C in an interactive development environment for a general-purpose language such as F# Interactive.

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source code distribution performs this step for you. The only reason you might want to run the command is if you want to run the command to ensure there are no errors.

The two background worker samples shown so far run at full throttle. In other words, the computations run on the background threads as active loops, and their reactive behavior is limited to flags that check for cancellation. In reality, background threads often have to do different kinds of work, either by responding to completed asynchronous I/O requests, by processing messages, by sleeping, or by waiting to acquire shared resources. Fortunately, F# comes with a powerful set of techniques for structuring asynchronous programs in a natural way. These are called asynchronous workflows. The next three sections cover how to use asynchronous workflows to structure asynchronous and messageprocessing tasks in ways that preserve the essential logical structure of your code.

Many multithreaded applications use mutable data structures shared between multiple threads. Without synchronization, these data structures will almost certainly become corrupt, because threads may read data that has been only partially updated (because not all mutations are atomic), or two threads may write to the same data simultaneously (a race condition). Mutable data structures are usually protected by locks, though lock-free mutable data structures are also possible. Shared-memory concurrency is a difficult and complicated topic, and a considerable amount of good material on .NET shared-memory concurrency is available on the Web. All this material applies to F# when programming with mutable data structures such as reference cells, arrays, and hash tables when the data structures can be accessed from multiple threads simultaneously. F# mutable data structures map to .NET memory in fairly predictable ways; for example, mutable references become mutable fields in a .NET class, and mutable fields of word size can be assigned atomically. On modern microprocessors multiple threads can see views of memory that are not consistent; that is, not all writes are propagated to all threads immediately. The guarantees given are called a memory model and are usually expressed in terms of the ordering dependencies between instructions that read/write memory locations. This is, of course, deeply troubling, because you have to think about a huge number of possible reorderings of your code, and it is one of

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