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All mutual exclusion locking is restricted to small code segments protecting field accesses, as must be true for any class in a lightweight task framework Tasks are not allowed to block unless they are sure they will be able to continue soon In particular, this framework unenforceably requires that synchronized blocks not span forks and subsequent joins or yields To help eliminate some synchronization, the callback count is split into two counters, callbacksExpected and callbacksReceived The task is done when they are equal The callbacksExpected counter is used only by the current task, so access need not be synchronized, and it need not be volatile In fact, since exactly two callbacks are always expected in the recursive case and the value is never needed outside the run method, this class could easily be reworked in a way that eliminates all need for this variable However, such a variable is needed in more typical callback-based designs where the number of forks may vary dynamically and may be generated across multiple methods The addToResult callback method must be synchronized to avoid interference problems when subtasks call back at about the same time So long as both number and callbacksReceived are declared as volatile, and callbacksReceived is updated as the last statement of addToResult, the yield loop test need not involve synchronization because it is waiting for a latching threshold that, once reached, will never change (see 3421) We could also define a reworked getAnswer method that uses these mechanics so that it returns an answer if all callbacks have been received However, since this method is designed to be called by external (non-task) clients upon completion of the overall computation, there is no compelling reason to do this The version from the original Fib class suffices Despite these measures, the overhead associated with task control in this version is greater than that of the original version using coInvoke If you were to use it anyway, you would probably choose a slightly larger sequential threshold, and thus exploit slightly less parallelism. vb.net barcode scanner programming Using a barcode reader on a vb . net application - MSDN - Microsoft
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VB.NET Barcode Reader & Scanner Library, tutorial for reading & recognizing barcodes using VB.NET class library for .NET, C#, VB.NET, ASP.NET web ... 4417 Cancellation In some designs, there is no need for keeping counts of callbacks or exhaustively traversing through subtask lists Instead, tasks complete when any subtask (or one of its subtasks, and so on) arrives at a suitable result In these cases, you can avoid wasting computation by cancelling any subtasks in the midst of producing results that will not be needed The options here are similar to those seen in other situations involving cancellation (see 312) For example, subtasks can regularly invoke a method (perhaps isDone) in their parents that indicates that an answer has already been found, and if so to return early They must also set their own status, so any of their subtasks can do the same This can be implemented here using FJTaskcancel that just prematurely sets isDone status This suppresses execution of tasks that have not yet been started, but has no effect on tasks in the midst of execution unless the tasks' run methods themselves detect updated status and deal with it When an entire set of tasks are all trying to compute a single result, an even simpler strategy suffices: Tasks may regularly check a global (static) variable that indicates completion However, when there are many tasks, and many CPUs, more localized strategies may still be preferable to one that places so much pressure on the underlying system by generating many accesses to the same memory location, especially if it must be accessed under synchronization Additionally, bear in mind that the total overhead associated with cancellation should be less than the cost of just letting small tasks run even if their results are not needed For example, here is a class that solves the classic N-Queens problem, searching for the placement of N queens that do not attack each other on a chessboard of size NxN For simplicity of illustration, it relies on a static Result variable Here tasks check for cancellation only upon entry into the method They will continue looping through possible extensions even if a result has already been found However, the generated tasks will immediately exit This can be slightly wasteful, but may obtain a solution more quickly than a version that checks for completion upon every iteration of every task Note also here that the tasks do not bother joining their subtasks since there is no reason to do so Only the ultimate external caller (in main) needs to wait for a solution; this is supported here by adding standard waiting and notification methods to the Result class (Also, for compactness, this version does not employ any kind of granularity threshold It is easy to add one, for example by directly exploring moves rather than forking subtasks when the number of rows is close to the board size). vb.net barcode scanner programming Barcode Generator & Scanner in VB 2015 - YouTube
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