This guide introduced the fundamental principles of using Neon intrinsics with an Android-based device. In the guide, we saw how to set up Android Studio for native C++ development, and how to use Neon intrinsics for Arm-powered mobile devices.
After explaining the idea behind Neon intrinsics, we demonstrated a sample implementation of the dot product of two equal-length vectors. We then vectorized the method using dedicated Neon intrinsics. In particular, we described loading data from memory to CPU registers, completing the operations, and then storing the results back to memory.
Vectorizing code is never an easy task. However, you can simplify it with Neon intrinsics to improve performance in scenarios that employ 3D graphics. An example of this would be signal and image processing, audio encoding, and video streaming.
Now you can start using the Neon intrinsics in your own projects. If you want to learn more about Neon, you can read our guide Neon Intrinsics on Android: How to Truncate Thresholding and Convolution of a 1D Signal.