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erhaps the most important new feature added to the NET Framework by version 40 is the Task Parallel Library (TPL) This library enhances multithreaded programming in two important ways First, it simplifies the creation and use of multiple threads Second, it automatically makes use of multiple processors In other words, by using the TPL you enable your applications to automatically scale to make use of the number of available processors These two features make the TPL the recommended approach to multithreading in most cases Another parallel programming feature added by NET 40 is PLINQ, which stands for Parallel Language Integrated Query PLINQ enables you to write queries that automatically make use of multiple processors and parallelism when appropriate As you will see, it is trivially easy to request parallel execution of a query Thus, through the use of PLINQ, it is possible to add parallelism to a query with little effort The primary reason that TPL and PLINQ are such important advances is because of the growing importance of parallelism in modern programming Today, multicore processors are becoming commonplace Furthermore, the demand for better program performance is increasing As a result, there has been a growing need for a mechanism that enables software to take advantage of multiple processors to increase performance The trouble is that in the past, it was not always easy to do so in a clean, scalable manner The TPL and PLINQ change this, making it easier (and safer) to best utilize system resources The TPL is defined in the SystemThreadingTasks namespace However, when working with the TPL, you will also often need to include SystemThreading because it provides support for synchronization and other multithreading features such as the Interlocked class This chapter explores both the TPL and PLINQ Understand, however, that these are large topics, and it is not possible to cover them in detail Instead, the fundamentals of each is described and several basic techniques are demonstrated Thus, the information in this chapter will help you get started If you will be focusing on parallel programming, then these are areas of the NET framework that you will want to study in greater detail. java data matrix barcode reader Welcome to Barcode4J
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how to generate barcode in c# web application Feb 8, 2012 · This feature is particularly useful if you want to generate DataMatrix symbols ... In Java a preamble of such an application ("[)>RS05GS") can be ... generate barcode in asp.net using c# When using the TPL, there are two basic ways in which you can add parallelism to a program The first is called data parallelism With this approach, one operation on a collection of data is broken into two or more concurrent threads of execution, each operating on a portion of the data For example, if a transformation is applied to each element in an array, then through the use of data parallelism, it is possible for two or more threads to be operating on different ranges of the array concurrently As you can imagine, such parallel actions could result in substantial increases in speed over a strictly sequential approach Although data parallelism has always been possible by using the Thread class, it was difficult and time-consuming to construct scalable solutions The TPL changes this With the TPL, scalable data parallelism is easy to add to your program The second way to add parallelism is through the use of task parallelism This approach executes two or more operations concurrently Thus, task parallelism is the type of parallelism that has been accomplished in the past via the Thread class The advantages that the TPL adds are ease-of-use and the ability to automatically scale execution to multiple processors java data matrix Zint Barcode Generator
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vb.net read usb barcode scanner Feb 8, 2012 · DataMatrix ... Example DataMatrix symbol (rectangular) ... In Java a preamble of such an application ("[)>RS05GS") can be expressed as ... qr code vb.net open source At the core of the TPL is the Task class With the TPL, the basic unit of execution is encapsulated by Task, not Thread Task differs from Thread in that Task is an abstraction that represents an asynchronous operation Thread encapsulates a thread of execution Of course, at the system level, a thread is still the basic unit of execution that can be scheduled by the operating system However, the correspondence between a Task instance and a thread of execution is not necessarily one-to-one Furthermore, task execution is managed by a task scheduler, which works with a thread pool This means that several tasks might share the same thread, for example The Task class (and all of the TPL) is defined in SystemThreadingTasks java data matrix library Data Matrix Java Control-Data Matrix barcode generator for Java ...
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