Book Image

Java 9 High Performance

By : Mayur Ramgir, Nick Samoylov
Book Image

Java 9 High Performance

By: Mayur Ramgir, Nick Samoylov

Overview of this book

Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications. We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase. By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java.
Table of Contents (11 chapters)

Parallelism

Parallel computing is an important concept that describes the use of creating a set of smaller problems in order to quickly process a larger program. This option is essential in speeding up the overall process by allowing its different elements to get processed at the same time. Parallel computing has especially found more power, as all JVMs now have access to multiple processors.

The Java framework essentially takes the advantage of parallelism and implements it into all of its functionalities, including garbage collection. However, this means that you have to partition your programs, functions, and memory objects in order to run them in a parallel operation. The Java runtime usually performs the actual partitioning and the recombining of these divisions to create the final output.

Parallelism is difficult to implement in JVM where collections are employed. Collections...