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Android High Performance Programming

You're reading from  Android High Performance Programming

Product type Book
Published in Aug 2016
Publisher Packt
ISBN-13 9781785288951
Pages 412 pages
Edition 1st Edition
Languages
Authors (3):
Emil Atanasov Emil Atanasov
Profile icon Emil Atanasov
Enrique López Mañas Enrique López Mañas
Profile icon Enrique López Mañas
Diego Grancini Diego Grancini
Profile icon Diego Grancini
View More author details

Table of Contents (17) Chapters

Android High Performance Programming
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Introduction: Why High Performance? 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

GPU profiler


The GPU profiler is also an experimental tool included in Android Studio 2.0. This tool aims to help us understand what has caused a particular problem in a rendering outcome, and to inspect the GPU's state.

The GPU debugging tools (where the GPU profiler is included) are not installed by default. To do this, we need to install them from the SDK tools section of the SDK manager.

To use this profiler within our application, we need to load the trace library in our application. We can do this either in our Java code or in our C++ code (something that makes sense, if we consider that a lot of the code used for graphics runs in C++ due to its better performance). Regardless of which method you use, you need to copy the library into your project to be loaded. The libraries will be located in <sdkDir>/extras/android/gapid/android/<abi>/libgapii.so.

We also need to copy some other relevant folders into the jniLibs directory. This can be found in <projectDir>/app/src...

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