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Multithreading and Parallel Programming in C#

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Multithreading and Parallel Programming in C#, available at $64.99, has an average rating of 4.25, with 80 lectures, based on 569 reviews, and has 3717 subscribers.

You will learn about Be able to use a full power of TPL (task parallel library) by using Tasks Understand the low-level of Threads Understand all the basic concepts such as "Thread", "Process"; difference between "asynchrony", "concurrency", "multithreading", and "parallel computing" Use the full power of synchronization constructs such as Monitor (lock), Interlocked, ReaderWriterLockSlim, Semaphore, SynchronizationContext Use the full power of signaling constructs such as AutoResetEvent and ManualResetEventSlim, CountdownEvent and Barrier, Mutex Use spinners where appropriate: SpinLock, SpinWait Understand and use Immutable and Concurrent Collections Harness the power of parallel computing by using PFX components: Parallel class and PLINQ This course is ideal for individuals who are Any C# developer who wants to learn about multithreading and parallel computing in C# or Any C# developer who wants to have a good reminder (about multithreading-related stuff) at hand It is particularly useful for Any C# developer who wants to learn about multithreading and parallel computing in C# or Any C# developer who wants to have a good reminder (about multithreading-related stuff) at hand.

Enroll now: Multithreading and Parallel Programming in C#

Summary

Title: Multithreading and Parallel Programming in C#

Price: $64.99

Average Rating: 4.25

Number of Lectures: 80

Number of Published Lectures: 80

Number of Curriculum Items: 80

Number of Published Curriculum Objects: 80

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

  • Be able to use a full power of TPL (task parallel library) by using Tasks
  • Understand the low-level of Threads
  • Understand all the basic concepts such as "Thread", "Process"; difference between "asynchrony", "concurrency", "multithreading", and "parallel computing"
  • Use the full power of synchronization constructs such as Monitor (lock), Interlocked, ReaderWriterLockSlim, Semaphore, SynchronizationContext
  • Use the full power of signaling constructs such as AutoResetEvent and ManualResetEventSlim, CountdownEvent and Barrier, Mutex
  • Use spinners where appropriate: SpinLock, SpinWait
  • Understand and use Immutable and Concurrent Collections
  • Harness the power of parallel computing by using PFX components: Parallel class and PLINQ

Who Should Attend

  • Any C# developer who wants to learn about multithreading and parallel computing in C#
  • Any C# developer who wants to have a good reminder (about multithreading-related stuff) at hand

Target Audiences

  • Any C# developer who wants to learn about multithreading and parallel computing in C#
  • Any C# developer who wants to have a good reminder (about multithreading-related stuff) at hand

For the last two decades, computers became faster by increasing the number of CPU cores. However, the fact of having more cores itself doesn’t make a computer drastically faster if those cores are not used by software properly. We, as software developers, should know how to write asynchronous and parallel executing code to make our applications faster and more responsive.

This course is all about developing more responsive and fast programs. Multithreading and Parallel Computing are topics for those who already have some experience in programming, otherwise, you may face difficulties with understanding the content. Anyway, this course covers:

  • Theoretical foundations of asynchronous programming: main concepts, processes, threads and so on

  • Low-level Thread API, APM, and EAP

  • Task Parallel Library (TPL) including starting tasks, canceling tasks, chaining tasks, waiting for tasks, IO-based tasks, exceptions handling and other

  • Async and Await feature of C#

  • Synchronizationincluding atomicity, Interlocked, Monitor (lock), ReaderWriterLockSlim, Semaphore, SynchronizationContext, and Mutex

  • Signaling constructs such as AutoResetEvent and ManualResetEventSlim, CountdownEvent and Barrier

  • Spinningincluding SpinWait, SpinLock and our own UpdateableSpin

  • ConcurrentCollectionsincluding ImmutableStack, ImmutableQueue, ImmutableList, Immutable Sets, ImmutableDictionary, ConcurrentStack, ConcurrentQueue, ConcurrentBag, BlockingCollection

  • Parallel Programming including Parallel class and PLINQ

Enroll and start learning the foundations of multithreading and parallel computing in .NET.

Course Curriculum

Chapter 1: Before Taking the Course

Lecture 1: How to Ask Questions

Lecture 2: Source Code

Lecture 3: Join .NET Community of Students

Lecture 4: Materials

Chapter 2: Introduction

Lecture 1: Outline

Lecture 2: Main Concepts

Lecture 3: Threads and Related Notions

Lecture 4: Why async programming Important?

Lecture 5: Hanging Application Demo

Lecture 6: Problems Related to Multithreading

Lecture 7: Conclusion

Chapter 3: Thread API, Thread Pool, APM & EAP

Lecture 1: Outline

Lecture 2: Create Process

Lecture 3: Starting a Thread

Lecture 4: Cancelling a Thread

Lecture 5: Coordinating Threads

Lecture 6: Threading and COM

Lecture 7: How Thread Pool Works

Lecture 8: Worker and I/O Threads

Lecture 9: I/O-Bound Operations

Lecture 10: APM and EAP

Lecture 11: Conclusion

Chapter 4: Tasks

Lecture 1: Outline

Lecture 2: What is a Task? Starting a Task

Lecture 3: Task States

Lecture 4: Cancelling a Task

Lecture 5: Chaining Tasks (Continuations)

Lecture 6: Waiting for a Task

Lecture 7: Creating I/O-Based Tasks

Lecture 8: Error Handling

Lecture 9: Global Exception Handling

Lecture 10: Nested and Child Tasks

Lecture 11: TaskCompletionSource

Lecture 12: Conclusion

Chapter 5: Async and Await

Lecture 1: Outline

Lecture 2: What is Async?

Lecture 3: Async Method Return Types

Lecture 4: Where "await" can be Used?

Lecture 5: Exceptions in Async Code

Lecture 6: Conclusion

Chapter 6: Synchronization in Multithreaded Scenarios

Lecture 1: Outline

Lecture 2: Resources Shared by Threads

Lecture 3: Atomic Operations and Thread Safety

Lecture 4: Interlocked

Lecture 5: Monitor (lock)

Lecture 6: ReaderWriterLockSlim

Lecture 7: Semaphore

Lecture 8: SynchronizationContext

Lecture 9: Deadlock

Lecture 10: Conclusion

Chapter 7: Signaling Constructs

Lecture 1: Outline

Lecture 2: Signaling with AutoResetEvent and ManuallyResetEventSlim

Lecture 3: CountdownEvent and Barrier

Lecture 4: Crossing Boundaries of a Process

Lecture 5: Conclusion

Chapter 8: Spinning

Lecture 1: Outline

Lecture 2: Blocking vs Spinning

Lecture 3: SpinLock and SpinWait

Lecture 4: Implementing our own spinner: UpdateableSpin

Lecture 5: Conclusion

Chapter 9: Concurrent Collections

Lecture 1: Outline

Lecture 2: Introduction

Lecture 3: Implementing ImmutableStack and the Problem of Memory Pressure

Lecture 4: Immutable Stack and ImmutableQueue

Lecture 5: Immutable List

Lecture 6: Immutable Sets

Lecture 7: Immutable Dictionary

Lecture 8: Builders in Immutable Collections

Lecture 9: ConcurrentStack and ConcurrentQueue

Lecture 10: ConcurrentBag

Lecture 11: ConcurrentDictionary

Lecture 12: Blocking Collection and Producer/Consumer Pattern

Lecture 13: Conclusion

Chapter 10: Parallel Programming

Lecture 1: Outline

Lecture 2: Introduction

Lecture 3: Parallel Class

Lecture 4: PLINQ

Lecture 5: Cancelling Parallel and PLINQ

Lecture 6: Conclusion

Lecture 7: BONUS

Instructors

  • Engineer Spock
    Engineer Spock
    Software Engineer – 1000+ Reviews, Average Score – 4.5

Rating Distribution

  • 1 stars: 11 votes
  • 2 stars: 22 votes
  • 3 stars: 95 votes
  • 4 stars: 223 votes
  • 5 stars: 218 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


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