c# pdf 417 reader Task objects consume more memory than just calling ThreadPool.QueueUserWorkItem in Visual C#

Creation PDF 417 in Visual C# Task objects consume more memory than just calling ThreadPool.QueueUserWorkItem

Task objects consume more memory than just calling ThreadPool.QueueUserWorkItem
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or a delegate s BeginInvoke . Calling a delegate s BeginInvoke method has known performance issues, and while Task objects require more memory, tasks run faster and are probably a better choice than calling a delegate s BeginInvoke method .
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The IAsyncResult APM offers four rendezvous techniques, which complicates the model; however, if you mentally restrict yourself to the callback method technique (as I do), then the model is simplified . The IAsyncResult APM is generally faster and uses fewer resources than the EAP . Some of the classes that support the EAP support cancellation . The IAsyncResult APM doesn t support cancellation at all; however, you can always obtain cancellation behavior by setting a flag and throwing away the result when it does complete . Wrapping the IAsyncResult pattern in a Task and setting the proper ContinueWith callbacks can help you here . The EAP is event-based, so that you can easily use it from within Visual Studio s Windows Forms, WPF, and Silverlight forms designers, and the notifying methods are called in the right UI thread .
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n n n
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TABLE 27-1
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Comparing the .NET Framework s Asynchronous Programming Models
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Primary Use Wait
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No No No Yes Yes! No No No No
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Model
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Sync I/O Sync I/O Sync I/O Unregister
Emulate Secondary via What Timeout
No No No No Via No Via Dispose No No
Parent /Child
Progress Reporting Cancel
Return/ Exception
Part V
QueueUser WorkItem
Threading
Timer
Compute Compute
RegisterWaitFor SingleObject
Tasks
Compute
Sync I/O or TaskCompletionSource and TaskScheduler's FromAsync
Compute: Before Task starts or if Task supports it I/O: Discard result No Some types discard the result . Yes No
IAsyncResult APM
I/O I/O
BackgroundWorker
Delegate s BeginInvoke
No No Some
No No
Yes Yes
Event-based PM
AsyncEnumerator
Delegate s BeginInvoke
28
Primitive Thread Synchronization Constructs
In this chapter: Class Libraries and Thread Safety . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Primitive User-Mode and Kernel-Mode Constructs . . . . . . . . . . . . . . . . . . . . . . . User-Mode Constructs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Kernel-Mode Constructs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793 794 796 813
When a thread pool thread blocks, the thread pool creates additional threads, and the time and memory resources required to create, destroy, and schedule threads is very expensive . And when many developers see that they have threads in their program that are not doing anything useful, they tend to create more threads in hopes that the new threads will do something useful . The key to building scalable and responsive applications is to not block the threads you have so that they can be used and reused to execute other tasks . 26, Compute-Bound Asynchronous Operations, focused on how to use existing threads to perform compute-bound operations, and 27, I/O-Bound Asynchronous Operations, focused on how to use threads when performing I/O-bound operations . In this chapter, I focus on thread synchronization . Thread synchronization is used to prevent corruption when multiple threads access shared data at the same time . I emphasize at the same time because thread synchronization is all about timing . If you have some data that is accessed by two threads and those threads cannot possibly touch the data simultaneously, then thread synchronization is not required at all . In 27, I showed some code that implements a named-pipe server . In the ClientConnected method, a thread allocates a Byte[] that will be filled with the data being sent from the client . When the client sends the data, a different thread pool thread will execute the GotRequest method, and this method will process the data in the Byte[] . Here we have two different threads accessing the same data . But the application is architected in such a way that it is impossible for two threads to access this same Byte[] at the same time . Therefore, no thread synchronization is used in the named-pipe application at all . This is ideal because thread synchronization has many problems associated with it . First, it is tedious and extremely error-prone . In your code, you must identify all data that could potentially be touched by multiple threads at the same time . Then you must surround this code with additional code that acquires and releases a thread synchronization lock . The lock ensures that only one thread at a time can access the resource . If you forget to surround just
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