Master the principles and techniques of multithreaded programming with the Java 8 Concurrency API
About This Book
- Implement concurrent applications using the Java 8 Concurrency API and its new components
- Improve the performance of your applications or process more data at the same time, taking advantage of all of your resources.
- Construct real-world examples related to machine learning, data mining, image processing, and client/server environments
Who This Book Is For
If you are a competent Java developer with a good understanding of concurrency but have no knowledge of how to effectively implement concurrent programs or use streams to make processes more efficient, then this book is for you.
What You Will Learn
- Design concurrent applications by converting a sequential algorithm into a concurrent one
- Discover how to avoid all the possible problems you can get in concurrent algorithms
- Use the Executor framework to manage concurrent tasks without creating threads
- Extend and modify Executors to adapt their behavior to your needs
- Solve problems using the divide and conquer technique and the Fork/Join framework
- Process massive data sets with parallel streams and Map/Reduce implementation
- Control data-race conditions using concurrent data structures and synchronization mechanisms
- Test and monitor concurrent applications
In Detail
Concurrency programming allows several large tasks to be divided into smaller sub-tasks, which are further processed as individual tasks that run in parallel. All the sub-tasks are combined together once the required results are achieved; they are then merged to get the final output. The whole process is very complex. This process goes from the design of concurrent algorithms to the testing phase where concurrent applications need extra attention. Java includes a comprehensive API with a ll³¸