17: Reflection, Attributes, and Dynamic Programming in C#

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17: Reflection, Attributes, and Dynamic Programming
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Finally, the chapter included a C# 40 introduced feature dynamic programming using the new type dynamic This section included a discussion of why static binding, although preferred when the API is strongly typed, has limitations when working with dynamic data The next chapter looks at multithreading, where attributes are used for synchronization
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Multithreading
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2004, increasing computer power primarily involved increasing the power of a single processor Limits imposed by the physics of today s silicon microchip technology have forestalled further increases in the power of single processors Figure 181 shows the plateau and even a small drop back, as the threshold of computing power versus heat dissipation stabilized to more maintainable levels In spite of the plateau, computer power continues to grow and Moore s Law remains on track as multiple cores (within a single processor) and multiple processors (the microchips that plug into the motherboard) became standard on mainline servers, workstations, and now laptops Microsoft Windows reflects this available power by showing eight processors on the Windows Task Manager for a four-core machine with Hyper-Threading
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RIOR TO
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Multithreaded Programming before TPL
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Thread ThreadPool
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ParallelFor() ParallelForEach<T>()
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Canceling a Task Canceling Parallel Loops Canceling PLINQ Querys Task Basics
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ContinueWith()
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18: Multithreading
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10,000,000
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Dual-Core Itanium 2 1,000,000
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100,000 Pentium 4 10,000 Pentium 1,000 386 100
Transistors (000) Clock Speed (MHz) Power (W) Perf/Clock (ILP)
0 1970
Figure 181: Clock Speeds over Time (Graph compiled by Herb Sutter Used with permission
Original at wwwgotwca)
Although the average computer now comes with multiple processing units or CPUs, the programs discussed so far use only one of those CPUs at a time because each program is single-threaded This chapter and the next discuss how to write code to take advantage of the processing potential of multiple processing units in a single computer We achieve the additional throughput that multiple processing units enable by writing multithreaded code, and this involves delving into the SystemThreading and SystemThreadingTasks namespaces These namespaces contain the API for manipulating threads
18: Multithreading
NET 4 introduced two new sets of APIs for multithreaded programming: the Task Parallel Library (TPL) and Parallel LINQ (PLINQ) Although the threading API from earlier versions of the framework still exists and is fully supported, future enhancements will center on the new APIs and so this chapter focuses on these However, since prior APIs are still relevant to those targeting earlier frameworks, one section in this chapter covers multithreading prior to NET Framework 4 In addition, the multithreading chapters from the preceding edition of this book (Essential C# 35) are available for download at http://intelliTechturecom/ EssentialCSharp, since much of the material that appeared in earlier editions is just as relevant and important today as it was then if you do not have the luxury of targeting only the NET Framework 4 Furthermore (albeit unsupported), Microsoft released the Reactive Extensions to NET (Rx), a separate download that adds support for TPL and PLINQ within the NET 35 Framework Therefore, any references to NET Framework 4-introduced capabilities within this chapter and the next imply similar capabilities within NET 35 given references to the SystemThreadingdll assembly from the Rx library
BEGINNER TOPIC Thread Basics A thread is a sequence of instructions that may run concurrently with other instruction sequences A program that enables more than one sequence to execute concurrently is multithreaded For example, in order to import a large file while simultaneously allowing a user to click Cancel, a developer creates an additional thread to perform the import By performing the import on a different thread, the user can request cancellation instead of freezing the user interface until the import completes An operating system simulates multiple threads running concurrently via a mechanism known as time slicing Even with multiple processors, there is generally a demand for more threads than there are processors, and as a result, time slicing occurs Time slicing is a mechanism whereby the operating system switches execution from one thread