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#
Synchronization including atomicity, Interlocked, Monitor (lock), ReaderWriterLockSlim, Semaphore, SynchronizationContext, and Mutex
Signaling constructs such as AutoResetEvent and ManualResetEventSlim, CountdownEvent and Barrier
Spinning including SpinWait, SpinLock and our own UpdateableSpin
ConcurrentCollections including 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.