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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 FREE CHAPTER 2. Identifying Performance Bottlenecks 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

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...

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