Chapter 1, Introduction to Parallel Programming, introduces the important concepts of multithreading and parallel programming. This chapter includes coverage of how OSes have evolved to support modern-day parallel programming constructs.
Chapter 2, Task Parallelism, demonstrates how to divide your program into tasks for the efficient utilization of CPU resources and high performance.
Chapter 3, Implementing Data Parallelism, focuses on implementing data parallelism using parallel loops. This chapter also covers extension methods to help in achieving parallelism, as well as partitioning strategies.
Chapter 4, , explains how to take advantage of PLINQ support. This includes ordering queries and canceling queries, as well as the pitfalls of using PLINQ.
Chapter 5, Synchronization Primitives, covers the synchronization constructs available in C# for working with shared resources in multithreaded code.
Chapter 6, Using Concurrent Collections, describes how to take advantage of concurrent collections available in .NET Core without worrying about the effort of manual synchronization coding.
Chapter 7, Improving Performance with Lazy Initialization, explores how to implement built-in constructs utilizing lazy patterns.
Chapter 8, Introduction to Asynchronous Programming, explores how to write asynchronous code in earlier versions of .NET.
Chapter 9, Async, Await, and Task-Based Asynchronous Programming Basics, covers how to take advantage of the new constructs in .NET Core to implement asynchronous code.
Chapter 10, Debugging Tasks Using Visual Studio, focuses on the various tools available in Visual Studio 2019 that makes debugging parallel tasks easier.
Chapter 11, Writing Unit Test Cases for Parallel and Asynchronous Code, covers the various ways to write unit test cases in Visual Studio and .NET Core.
Chapter 12, IIS and Kestrel in ASP.NET Core, introduces the concepts of IIS and Kestrel. The chapter also looks at support for asynchronous streams.
Chapter 13, Patterns in Parallel Programming, explains the various patterns that are already implemented in the C# language. This also includes custom pattern implementations.
Chapter 14, Distributed Memory Management, explores how memory is shared in distributed programs.
