# Tag: Neon

## Learning paths

- [Migrate applications to Arm servers using migrate-ease](https://learn.arm.com/learning-paths/servers-and-cloud-computing/migrate-ease/)
- [Migrate applications to Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/migration/)
- [Accelerate Generative AI workloads using KleidiAI](https://learn.arm.com/learning-paths/cross-platform/kleidiai-explainer/)
- [Porting architecture specific intrinsics](https://learn.arm.com/learning-paths/cross-platform/intrinsics/)
- [Accelerate search performance with SVE2 MATCH on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/sve2-match/)
- [Compare KleidiCV Gaussian blur performance across Neon, SVE2, and SME on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/explore-kleidicv-gaussian-blur-on-android/)
- [Port Code to Arm Scalable Vector Extension (SVE)](https://learn.arm.com/learning-paths/servers-and-cloud-computing/sve/)
- [Accelerate Bitmap Scanning with Neon and SVE Instructions on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/bitmap_scan_sve2/)
- [Profile GPT-2 inference with the Arm Performix Instruction Mix recipe](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-instruction-mix/)
- [Optimize Unity applications on Android using Neon intrinsics](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/using-neon-intrinsics-to-optimize-unity-on-android/)
- [Migrating x86_64 workloads to aarch64](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/migration/)
- [Add an LLM to your Android app with Arm's AI Chat library](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android-ai-chat-lib/)
- [Build an on-device AI fitness tutor app on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-plank-tutor/)