# Tag: CPP

## Filter

**Categories**
- Automotive
- Embedded and Microcontrollers
- Laptops and Desktops
- Mobile, Graphics, and Gaming
- Servers and Cloud Computing

## Learning paths

- [Run an optimized vision-language model from the Arm AI Portal on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-portal-mobile-vision-language/)
- [Integrate a KleidiAI SME2 kernel into XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/integrate-kleidiai-kernel-xnnpack-qd8-f16-qc4w/)
- [Optimize image processing on Android using Halide](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android_halide/)
- [Accelerate Generative AI workloads using KleidiAI](https://learn.arm.com/learning-paths/cross-platform/kleidiai-explainer/)
- [Learn SVE and SME programming with SIMD Loops](https://learn.arm.com/learning-paths/cross-platform/simd-loops/)
- [Optimize a sample C++ application on an Arm-based server with Arm Performix](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-get-started/)
- [Profile llama.cpp performance with Arm Streamline and KleidiAI LLM kernels](https://learn.arm.com/learning-paths/servers-and-cloud-computing/llama_cpp_streamline/)
- [Optimize exponential functions with FEXPA](https://learn.arm.com/learning-paths/servers-and-cloud-computing/fexpa/)
- [Identify and optimize code hotspots using the Arm Performix MCP server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-mcp-agent/)
- [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/)
- [Optimize application performance with CPU affinity](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pinning-threads/)
- [Migrate applications that leverage performance libraries](https://learn.arm.com/learning-paths/servers-and-cloud-computing/using-and-porting-performance-libs/)
- [Learn about optimization techniques using the g++ compiler](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cplusplus_compilers_flags/)
- [Automate x86 to Arm Migration with Docker MCP Toolkit, VS Code and GitHub Copilot](https://learn.arm.com/learning-paths/servers-and-cloud-computing/docker-mcp-toolkit/)
- [Automate x86-to-Arm application migration using Arm MCP Server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arm-mcp-server/)
- [Optimize memory access behavior using the Arm Performix MCP server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-memory-access/)
- [Understand KleidiAI SME2 matmul microkernels](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kai_sme2_matmul_ukernel_explained/)
- [Accelerate multimodal Voice Assistant performance with KleidiAI and SME2](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/voice-assistant/)
- [Generate audio with Stable Audio Open Small using ExecuTorch](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-with-executorch/)
- [Generate audio with Stable Audio Open Small on LiteRT](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/run-stable-audio-open-small-with-lite-rt/)
- [Profile ONNX model performance with SME2 using KleidiAI and ONNX Runtime](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/performance_onnxruntime_kleidiai_sme2/)
- [Measure LLM inference performance with KleidiAI and SME2 on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/performance_llama_cpp_sme2/)
- [Optimize graphics vertex efficiency for Arm GPUs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/optimizing-vertex-efficiency/)
- [Port the Win32 library to Arm64](https://learn.arm.com/learning-paths/laptops-and-desktops/win_win32_dll_porting/)
- [Create OpenCV applications on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win-opencv/)
- [Learn about the C++ memory model for porting applications to Arm](https://learn.arm.com/learning-paths/servers-and-cloud-computing/arm-cpp-memory-model/)
- [Implement Code level Performance Analysis using the PMUv3 plugin](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pmuv3_plugin_learning_path/)
- [Develop desktop applications with Chromium Embedded Framework on Windows on Arm](https://learn.arm.com/learning-paths/laptops-and-desktops/win_cef/)
- [Run Phi-3 on Windows on Arm using ONNX Runtime](https://learn.arm.com/learning-paths/laptops-and-desktops/win_on_arm_build_onnxruntime/)
- [Accelerate Denoising, Background Blur and Low-Light Camera Effects with SME2](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/ai-camera-pipelines/)
- [Build an Android chat application with ONNX Runtime API](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime/)
- [Build and profile a simple WebGPU Android Application](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/android_webgpu_dawn/)
- [Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/)
- [Develop a native C++ library on an Arm-based machine](https://learn.arm.com/learning-paths/cross-platform/matrix/)
- [Build a multimodal retail restocking assistant on Armv9 with MNN](https://learn.arm.com/learning-paths/cross-platform/multimodel_mnn_v9/)
- [Find Code Hotspots with Arm Performix](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cpu_hotspot_performix/)
- [Port applications to Arm64 using Arm64EC](https://learn.arm.com/learning-paths/laptops-and-desktops/win_arm64ec_porting/)
- [Build and run a native Windows on Arm Qt application](https://learn.arm.com/learning-paths/laptops-and-desktops/win_arm_qt/)
- [Understand floating-point behavior across x86 and Arm architectures](https://learn.arm.com/learning-paths/cross-platform/floating-point-behavior/)
- [Run ERNIE-4.5 Mixture of Experts model on Armv9 with llama.cpp](https://learn.arm.com/learning-paths/cross-platform/ernie_moe_v9/)
- [Learn about function multiversioning](https://learn.arm.com/learning-paths/cross-platform/function-multiversioning/)
- [Boost C++ performance by optimizing loops with boundary information](https://learn.arm.com/learning-paths/cross-platform/cpp-loop-size-context/)
- [Run Process watch on your Arm machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/processwatch/)