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TOPIC 1: OPTIMIZE WITH INTRINSICS

Optimize Performance in C/C++ with Arm Intrinsics

Neon and SVE2 Intrinsics are a set of C/C++ functions whose precise implementation is known to the Arm compiler and GCC. They eliminate the need to write in assembly to optimize performance-intensive pieces of code, for the underlying architecture.

 

Video Tutorial on How to Use Neon Intrinsics

  • This is a hands-on video tutorial, showcasing the steps to take to get started using Neon Intrinsics on Android.

Learning Path on Getting Started with Neon Intrinsics

  • This is a hands-on written tutorial for beginners, with a step-by-step guide to what a developer needs to do to use Neon Intrinsics on Android.

Get Started with Scalable Vector Extension 2 (SVE2) Intrinsics on Android

  • This is a hands-on Learning Path tutorial, that walks you through how an app calculating the fused multiply-add (FMA) is implemented using SVE2 Intrinsics on Android NDK.

Optimizing C/C++ Code with Neon Intrinsics Developer Guide

  • This developer guide uses several examples to showcase and explain the use of Intrinsics.

Case Studies, Examples and More Documentation

  • Several intermediate-to-advanced case studies, as well as other documentation detailing how to use Arm Neon and SVE2 architecture Intrinsics for C/C++.
TOPIC 2: OPTIMIZE WITH ADPF

Optimize Thermal and CPU Performance with Android Dynamic Performance Framework (ADPF)

Follow the tutorials to learn how to use specific Vulkan features.

 

Examples Using Vulkan

  • GitHub repository containing performance samples and code examples from which to start your development.

Image Compression Control

  • A tutorial with sample code that shows how a Vulkan application can control the compression of images.
  • Get started and learn how to enable Arm Fixed Rate Compression (AFRC) to improve performance.

Deferred Shading on Mobile

  • Tutorial sample code on how to use deferred shading with the Vulkan API. A 14-minute read.

Asynchronous Compute

  • A practical sample explaining async compute to efficiently utilize hardware resources available on a modern GPU. A 10-minute read.

 

Also check our Android R Vulkan Extensions on Mobile: Timeline SemaphoresDescriptor Indexing and Buffer Device Address.

TOPIC 3: SECURE WITH MTE

Improve the Code Quality and Stability with the Memory Tagging Extension (MTE)

MTE is an Armv9 CPU feature, which identifies memory-related vulnerabilities to improve the security of connected devices.

 

Debug with MTE on Google Pixel 8

  • Learn how to recognize common memory safety bugs in Android apps, and set up your Android application for debugging in Android Studio with MTE.

Hands-on Learning Path: Using MTE on Pixel 8

  • Getting Started tutorial, with a step-by-step showcase on how to enable and use MTE on Pixel 8.

Video Tutorial: Using MTE on Pixel 8

  • The video introduces MTE, how it works and the importance of it. Afterwards, it showcases live the steps you need to do to enable MTE, as well as covers the background.

MTE User Guide

  • An in-depth user guide on the background information, as well as how to use MTE, how but reports are provided, how to debug with Android Studio and how to integrate MTE with memory management systems.

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Learn From the Community

Talk directly to Arm Experts like Roberto Lopez Mendez and the broader Arm community in Discord channel today.

Roberto Lopez Mendez

Roberto is the tech lead of the Arm Developer Advocacy team, charged with showing developers and partners how to make the most of new Arm technologies.

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