The Concurrent .NET training course course introduces you to a variety of constructs for simultaneous processing in .NET. From the tried-and-true world of threads and mutexes, to more modern technologies like PLINQ and the Task Parallel Library (TPL), you’ll learn how and when to execute code in parallel.
This course assumes prior .NET fundamentals knowledge. This course assumes prior .NET fundamentals knowledge. If you are new to .NET, we recommend beginning with Essential C# and .NET Fundamentals courses.
Upon completion of this course, you should be able to:
- Compare and contrast three different options for parallel processing in .NET.
- Describe a situation where adding concurrency is unlikely to improve overall performance.
- Use C#’s new “await keywork” to take the pain out of concurrency.
What You'll Learn
In the Concurrent .NET training course, you’ll learn:
- Threads: The Old Standby
- Threads and Thread Queues
- Synchronizing access to shared state
- Managing threads
- LINQ Refresher
- Opting in with AsParallel
- PLINQ Limitations
- Introducing the Task Parallel Library (TPL)
- Simple Data Parallelism
- Working with Tasks
- New keyword: await
- Introducing Functional Reactive Programming (FRP)
- Composing with IObservable
Meet Your Instructor
Eric is a consultant, a trainer, and a passionate programmer. For the past 15 years, he’s been building applications in a wide variety of industries, from structural engineering to video editing to currency trading. Growing up professionally in the world of .NET, Eric has an extensive background in C#, ASP MVC, and SQL Server with a variety of Microsoft certifications.Craig
Craig has been a developer for over 15 years at startups, enterprises, and as a consultant. During...Julian
Julian first touched fingers to keypunch in 1972, punching Fortran code onto cards at Imperial College in London (England, that is) and soon moved onto Macro-11 programming on PDP-11s. This qualifies him as a Real Programmer, and until recently, he even had a PDP-11 in his garage at home to remind him of better times.
He learnt Fortran while becoming a geologist at Imperial College, but he has never practised in the rock business, as he succumbed to the...Andrew S
Andrew is a mathematician turned software engineer who loves building systems. After graduating with a PhD in pure math, he became fascinated by software startups and has since spent 20 years learning. During this period, he’s worked on a wide variety of projects and platforms, including big data analytics, enterprise optimization, mathematical finance, cross-platform middleware, and medical imaging.
In 2001, Andrew served as company architect at ProfitLogic, a pricing optimization startup...