Master the principles to make applications robust, scalable and responsive About This Book * Implement concurrent applications using the Java 9 Concurrency API and its new components * Improve the performance of your applications and process more data at the same time, taking advantage of all of your resources * Construct real-world examples related to machine learning, data mining, natural language processing, and more Who This Book Is For This book is for competent Java developers who have basic understanding of concurrency, but knowledge of effective implementation of concurrent programs or usage of streams for making processes more efficient is not required What You Will Learn * Master the principles that every concurrent application must follow * See how to parallelize a sequential algorithm to obtain better performance without data inconsistencies and deadlocks * Get the most from the Java Concurrency API components * Separate the thread management from the rest of the application with the Executor component * Execute phased-based tasks in an efficient way with the Phaser components * Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework * Find out how to use parallel Streams and Reactive Streams * Implement the "map and reduce" and "map and collect" programming models * Control the concurrent data structures and synchronization mechanisms provided by the Java Concurrency API * Implement efficient solutions for some actual problems such as data mining, machine learning, and more 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. Java 9 includes a comprehensive API with lots of ready-to-use components for easily implementing powerful concurrency applications, but with high flexibility so you can adapt these components to your needs. The book starts with a full description of the design principles of concurrent applications and explains how to parallelize a sequential algorithm. You will then be introduced to Threads and Runnables, which are an integral part of Java 9's concurrency API. You will see how to use all the components of the Java concurrency API, from the basics to the most advanced techniques, and will implement them in powerful real-world concurrency applications. The book ends with a detailed description of the tools and techniques you can use to test a concurrent Java application, along with a brief insight into other concurrency mechanisms in JVM. Style and approach This is a complete guide that implements real-world examples of algorithms related to machine learning, data mining, and natural language processing in client/server environments. All the examples are explained using a step-by-step approach.

Master the art of fast, effective Java development with the power of concurrent and parallel programming About This Book * Get detailed coverage of important recipes on multi-threading and parallel programming * This book takes a close look at the Java 9 APIs and their impact on concurrency * See practical examples on thread safety, high-performance classes, safe sharing, and a whole lot more Who This Book Is For The book is for Java developers and programmers at an intermediate to advanced level. It will be especially useful for developers who want to take advantage of task-based recipes using Java 9's concurrent API to program thread-safe solutions. What You Will Learn * Find out to manage the basic components of the Java Concurrency API * Use synchronization mechanisms to avoid data race conditions and other problems of concurrent applications * Separate the thread management from the rest of the application with the Executor framework * Solve problems using a parallelized version of the divide and conquer paradigm with the Fork / Join framework * Process massive data sets in an optimized way using streams and reactive streams * See which data structures we can use in concurrent applications and how to use them * Practice efficient techniques to test concurrent applications * Get to know tips and tricks to design concurrent applications In Detail Writing concurrent and parallel programming applications is an integral skill for any Java programmer. Java 9 comes with a host of fantastic features, including significant performance improvements and new APIs. This book will take you through all the new APIs, showing you how to build parallel and multi-threaded applications. The book covers all the elements of the Java Concurrency API, with essential recipes that will help you take advantage of the exciting new capabilities. You will learn how to use parallel and reactive streams to process massive data sets. Next, you will move on to create streams and use all their intermediate and terminal operations to process big collections of data in a parallel and functional way. Further, you'll discover a whole range of recipes for almost everything, such as thread management, synchronization, executors, parallel and reactive streams, and many more. At the end of the book, you will learn how to obtain information about the status of some of the most useful components of the Java Concurrency API and how to test concurrent applications using different tools. Style and approach This recipe-based book will allow you to explore the exciting capabilities of concurrency in Java. After reading this book, you will be able to comfortably build parallel applications in Java 9.

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 lot of ready-to-use components to implement powerful concurrency applications in an easy way, but with a high flexibility to adapt these components to your needs. The book starts with a full description of design principles of concurrent applications and how to parallelize a sequential algorithm. We'll show you how to use all the components of the Java Concurrency API from basics to the most advanced techniques to implement them in powerful concurrency applications in Java. You will be using real-world examples of complex algorithms related to machine learning, data mining, natural language processing, image processing in client / server environments. Next, you will learn how to use the most important components of the Java 8 Concurrency API: the Executor framework to execute multiple tasks in your applications, the phaser class to implement concurrent tasks divided into phases, and the Fork/Join framework to implement concurrent tasks that can be split into smaller problems (using the divide and conquer technique). Toward the end, we will cover the new inclusions in Java 8 API, the Map and Reduce model, and the Map and Collect model. The book will also teach you about the data structures and synchronization utilities to avoid data-race conditions and other critical problems. Finally, the book ends with a detailed description of the tools and techniques that you can use to test a Java concurrent application. Style and approach A complete guide implementing real-world examples with algorithms related to machine learning, data mining, and natural language processing in client/server environments. All the examples are explained in a step-by-step approach.