Chapter 1. Hello NDK

In this chapter, we will cover the following recipes:

  • Setting up an Android NDK development environment in Windows
  • Setting up an Android NDK development environment in Ubuntu Linux
  • Setting up an Android NDK development environment in Mac OS
  • Updating Android NDK
  • Writing a Hello NDK program

Introduction

Android NDK is a toolset that allows developers to implement a part of or an entire Android application in a native language, such as C, C++, and assembly. Before we start our journey to NDK, it is important to understand the advantages of NDK.

First of all, NDK may improve application performance. This is usually true for many processor-bound applications. Many multimedia applications and video games use native code for processor-intensive tasks.

The performance improvements can come from three sources. Firstly, the native code is compiled to a binary code and run directly on OS, while Java code is translated into Java byte-code and interpreted by Dalvik Virtual Machine (VM). At Android 2.2 or higher, a Just-In-Time (JIT) compiler is added to Dalvik VM to analyze and optimize the Java byte-code while the program is running (for example, JIT can compile a part of the byte-code to binary code before its execution). But in many cases, native code still runs faster than Java code.

Tip

Java code is run by Dalvik VM on Android. Dalvik VM is specially designed for systems with constrained hardware resources (memory space, processor speed, and so on).

The second source for performance improvements at NDK is that native code allows developers to make use of some processor features that are not accessible at Android SDK, such as NEON, a Single Instruction Multiple Data (SIMD) technology, allowing multiple data elements to be processed in parallel. One particular coding task example is the color conversion for a video frame or a photo. Suppose we are to convert a photo of 1920x1280 pixels from the RGB color space to the YCbCr color space. The naive approach is to apply a conversion formula to every pixel (that is, over two million pixels). With NEON, we can process multiple pixels at one time to reduce the processing time.

The third aspect is that we can optimize the critical code at an assembly level, which is a common practice in desktop software development.

Tip

The advantages of using native code do not come free. Calling JNI methods introduces extra work for the Dalvik VM and since the code is compiled, no runtime optimization can be applied. In fact, developing in NDK doesn't guarantee a performance improvement and can actually harm performance at times. Therefore, we only stated that it may improve the app's performance.

The second advantage of NDK is that it allows the porting of existing C and C++ code to Android. This does not only speed up the development significantly, but also allows us to share code between Android and non-Android projects.

Before we decide to use NDK for an Android app, it is good to know that NDK will not benefit most Android apps. It is not recommended to work in NDK simply because one prefers programming in C or C++ over Java. NDK cannot access lots of APIs available in the Android SDK directly, and developing in NDK will always introduce extra complexity into your application.

With the understanding of the pros and cons of NDK, we can start our journey to Android NDK. This chapter will cover how to set up Android NDK development in Windows, Ubuntu Linux, and Mac OS. For developers who have set up an Android NDK development environment before, a recipe with detailed steps of how to update an NDK development environment is provided. At the end of the chapter, we will write a Hello NDK program with the environment setup.

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