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Java 9 High Performance

You're reading from   Java 9 High Performance Practical techniques and best practices for optimizing Java applications through concurrency, reactive programming, and more

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787120785
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Mayur Ramgir Mayur Ramgir
Author Profile Icon Mayur Ramgir
Mayur Ramgir
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Toc

Table of Contents (11) Chapters Close

1. Learning Java 9 Underlying Performance Improvements 2. Identifying Performance Bottlenecks FREE CHAPTER 3. Learning How to Troubleshoot Code 4. Learning How to Use Profiling Tools 5. Understanding Garbage Collection and Making Use of It 6. Optimizing Code with Microbenchmarking 7. Speeding Up JSON Generation 8. Tools for Higher Productivity and Faster Application 9. Multithreading and Reactive Programming 10. Microservices 11. Making Use of New APIs to Improve Your Code

Memory utilization

In this section, we will explore another area which is susceptible to performance problems. More or less, each line of code is dependent on some data in the form of object, variable, and so on. Hence, JVM needs to have some type of provision to store this information so that it will be available to your code. This storage is mainly provided by the underline Operating System (OS), which is based on physical memory such as Random Access Memory (RAM) and JVM is allocated to use a portion of it. This memory space is then available to your application running inside the JVM.

There are mainly two areas which you need to focus on:

  • Heap
  • Stack

Don’t worry, we will take a closer look at these two areas, but before we jump into that, let's quickly review CPU memory that we briefly talked about in the previous section. Every time CPU executes the given instructions...

You have been reading a chapter from
Java 9 High Performance
Published in: Nov 2017
Publisher: Packt
ISBN-13: 9781787120785
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