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Android High Performance Programming

You're reading from   Android High Performance Programming Build fast and efficient Android apps that run as reliably as clockwork in a multi-device world

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Product type Paperback
Published in Aug 2016
Publisher Packt
ISBN-13 9781785288951
Length 412 pages
Edition 1st Edition
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Authors (2):
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Enrique López Mañas Enrique López Mañas
Author Profile Icon Enrique López Mañas
Enrique López Mañas
Diego Grancini Diego Grancini
Author Profile Icon Diego Grancini
Diego Grancini
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Table of Contents (12) Chapters Close

Preface 1. Introduction: Why High Performance? FREE CHAPTER 2. Efficient Debugging 3. Building Layouts 4. Memory 5. Multithreading 6. Networking 7. Security 8. Optimizing Battery Consumption 9. Native Coding in Android 10. Performance Tips Index

Summary


After reading this chapter, the reader will be able to construct applications using NDK natively or as a hybrid within an Android application. In addition, we recommend the reader checks out some other frameworks, particularly OpenCV. Learning OpenCV itself can be the subject of an entire book. However, if the reader is dealing with heavy image processing, he/she will find this framework very useful.

One of the key points when using NDK is to decide where the correct trade-off between complexity and performance lies. Using NDK can be tempting to solve complex computational problems, and it should be a clear decision when we are dealing with image processing, OpenGL, computer graphics, or animation. It is in fact proven that NDK learners tend to overuse it, and include it in most single tasks. From an efficiency point of view, this could look like a great idea, but software engineering is about handling growing complexity more than anything else. If the software keeps growing without...

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