C# Multithreaded and Parallel Programming by Rodney Ringler

By Rodney Ringler

Develop strong C# purposes to use modern-day multicore hardware

About This Book

  • Make use of the newest visible Studio debugging instruments, to control and debug a number of threads operating simultaneously
  • Learn find out how to use the Thread, activity, and Parallel libraries on your C# applications
  • Explore the evolution of multithreaded improvement in C#, beginning with BackgroundWorker sessions and relocating directly to threads and projects and at last masking Async

Who This booklet Is For

If you're a C# developer and need to benefit the right way to benefit from the positive aspects of .NET for concurrent and multithreaded purposes, then this publication is for you. while you're already pleased with C# yet are looking to study extra approximately parallel layout styles, threads, initiatives, and async, then glance no further!

What you'll Learn

  • Explore the entire crucial tools used for programming multithreaded applications
  • Enhance the functionality of an software via designing a variety of parallel operations to accomplish concurrency
  • Build strong functions utilizing the duty Parallel Library (TPL), which makes concurrent processing of things in a knowledge assortment simple
  • Implement info parallelism utilizing the Parallel library, concurrent collections, and PLINQ
  • Debug your multithreaded functions utilizing the Threads view, initiatives window, Parallel Stacks window, and Parallel Watch window
  • Accomplish any given parallel job utilizing of the preferred parallel styles for improvement: Pipelining and producer-consumer
  • Get to grips with the Asynchronous Programming version (APM) to profit to start and finish asynchronous operations

In Detail

Most glossy machines have dual-core processors. which means the present-day computing device has the facility to multitask. utilizing a number of cores capability your purposes can approach facts swifter and be extra attentive to clients. in spite of the fact that, to completely take advantage of this on your functions, you must write multithreading code.

We will start by way of overlaying a few thoughts which have been round because the starting of .NET, together with the BackgroundWorker part, timers, and the Thread classification. we'll use projects, job factories, and parallel loops to enhance multithreaded purposes at a better point than without delay growing and coping with person threads. ultimately, we'll examine the instruments visible Studio offers for debugging parallel purposes, universal concurrent layout styles, and the most recent updates in PLINQ and async.

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Extra resources for C# Multithreaded and Parallel Programming

Example text

However, we cannot see the progress of the code being broken. We will fix this issue shortly. How does it work without blocking the UI? After calling the RunWorkerAsync() method of BackgroundWorker, the advantage of threading begins by running the code programmed in the DoWork event handler in a new independent thread. This mechanism is known as asynchronous execution. When an asynchronous method is called, it runs in an independent way and the program flow goes on with the instruction after the method call, even though the code has not finished its execution.

These are the subrobots in each robot, the number of hands, legs, and their speed. • Shared memory's bus bandwidth: This is the maximum number of concurrent communications that the robots can establish. • I/O bus bandwidth: This is the robots' efficiency, precision, and speed in managing their hands and legs concurrently to do each task. Bandwidth between processors This bus allows the processors to establish a fluid communication between them. It is also known as the inter-processor bus. In some microarchitectures, this bus is the same as the FSB.

We must optimize our applications to take full advantage of them. Analyzing the microarchitectures used in modern microprocessors is a topic for an entire book. However, we needed some knowledge about them in order to understand the parallel processing capabilities that are useful for our goals. Do not expect plutonium robots! They are still too expensive to maintain. Examining our hardware As we will see with some of the tools used to analyze a system's hardware, most count logical cores and not just physical cores.

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