Book Image

Android High Performance Programming

By : Emil Atanasov, Enrique López Mañas, Diego Grancini
Book Image

Android High Performance Programming

By: Emil Atanasov, Enrique López Mañas, Diego Grancini

Overview of this book

Performant applications are one of the key drivers of success in the mobile world. Users may abandon an app if it runs slowly. Learning how to build applications that balance speed and performance with functionality and UX can be a challenge; however, it's now more important than ever to get that balance right. Android High Performance will start you thinking about how to wring the most from any hardware your app is installed on, so you can increase your reach and engagement. The book begins by providing an introduction to state–of-the-art Android techniques and the importance of performance in an Android application. Then, we will explain the Android SDK tools regularly used to debug and profile Android applications. We will also learn about some advanced topics such as building layouts, multithreading, networking, and security. Battery life is one of the biggest bottlenecks in applications; and this book will show typical examples of code that exhausts battery life, how to prevent this, and how to measure battery consumption from an application in every kind of situation to ensure your apps don’t drain more than they should. This book explains techniques for building optimized and efficient systems that do not drain the battery, cause memory leaks, or slow down with time.
Table of Contents (17 chapters)
Android High Performance Programming
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
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...