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+74
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.wordlist.txt

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@@ -4080,4 +4080,42 @@ DB's
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FFT's
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IoT's
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NumPy's
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SendGrid's
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SendGrid's
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AEMv
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AEx
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BusyBox
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CTX
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FastMCP
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HW
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LLVM's
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LiveHDR
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PCI
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PSCI
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Pixmap
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PyPi
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Qixiang
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REGS
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RevC
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SMMU
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SMP
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Strided
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TTS
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Wix’s
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Xu
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aemfvp
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convolve
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deps
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dotenv
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fastmcp
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ipykernel
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jlowin
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libomp
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lockfile
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lockfiles
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mk
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multimodal
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ngrok’s
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precomputed
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pyproject
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toml
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virtualenv

content/learning-paths/embedded-and-microcontrollers/_index.md

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operatingsystems_filter:
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- Android: 1
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- Baremetal: 29
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- Linux: 26
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- Linux: 27
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- macOS: 6
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- RTOS: 9
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- Windows: 4
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subjects_filter:
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- CI-CD: 5
2020
- Containers and Virtualization: 6
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- Embedded Linux: 3
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- Embedded Linux: 4
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- Libraries: 3
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- ML: 12
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- Performance and Architecture: 21
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- Arm Compiler for Embedded: 7
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- Arm Compiler for Linux: 1
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- Arm Compute Library: 1
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- Arm Development Studio: 7
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- Arm Development Studio: 8
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- Arm Fast Models: 4
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- Arm Virtual Hardware: 10
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- Assembly: 1
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- AVH: 1
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- C: 2
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- C: 3
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- C/C++: 1
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- ChatGPT: 1
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- Clang: 1
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- MPS3: 1
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- MXNet: 1
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- Neon: 1
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- NumPy: 1
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- Paddle: 1
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- Porcupine: 1
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- Python: 5
@@ -88,7 +90,6 @@ tools_software_languages_filter:
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- TrustZone: 2
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- TVMC: 1
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- vcpkg: 1
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- VS Code: 1
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- Yocto Linux: 1
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- Zephyr: 1
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weight: 5

content/learning-paths/laptops-and-desktops/_index.md

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- ChromeOS: 1
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- Linux: 31
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- macOS: 7
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- Windows: 42
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- Windows: 43
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subjects_filter:
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- CI-CD: 5
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- Containers and Virtualization: 5
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- Migration to Arm: 27
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- Migration to Arm: 28
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- ML: 2
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- Performance and Architecture: 25
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subtitle: Create and migrate apps for power efficient performance
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- C/C++: 4
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- CCA: 1
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- Clang: 11
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- cmake: 1
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- CMake: 2
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- cmake: 1
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- Coding: 16
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- CSS: 1
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- Daytona: 1
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- Neon: 1
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- Neovim: 1
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- Node.js: 3
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- ONNX Runtime: 1
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- OpenCV: 1
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- perf: 4
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- Python: 4
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- Python: 5
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- Qt: 2
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- Remote.It: 1
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- RME: 1
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- SVE2: 1
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- Trusted Firmware: 1
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- Visual Studio: 14
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- Visual Studio Code: 9
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- Visual Studio Code: 10
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- VS Code: 3
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- Windows Forms: 1
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- Windows Performance Analyzer: 1

content/learning-paths/mobile-graphics-and-gaming/_index.md

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- Mali
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maintopic: true
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operatingsystems_filter:
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- Android: 28
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- Linux: 24
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- macOS: 10
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- Android: 29
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- Linux: 26
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- macOS: 12
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- Windows: 11
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subjects_filter:
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- Gaming: 6
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- Graphics: 6
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- ML: 10
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- Performance and Architecture: 27
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- Performance and Architecture: 29
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subtitle: Optimize Android apps and build faster games using cutting-edge Arm tech
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title: Mobile, Graphics, and Gaming
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tools_software_languages_filter:
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- Bazel: 1
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- C: 1
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- C#: 3
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- C++: 6
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- C++: 7
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- C/C++: 1
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- CCA: 1
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- Clang: 10
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- GCC: 10
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- GenAI: 2
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- GoogleTest: 1
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- Java: 5
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- Java: 6
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- KleidiAI: 1
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- Kotlin: 6
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- Kotlin: 7
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- LiteRT: 1
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- LLM: 1
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- llvm-mca: 1

content/learning-paths/servers-and-cloud-computing/_index.md

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maintopic: true
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operatingsystems_filter:
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- Android: 2
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- Linux: 138
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- Linux: 141
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- macOS: 10
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- Windows: 14
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pinned_modules:
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- Containers and Virtualization: 27
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- Databases: 15
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- Libraries: 8
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- ML: 25
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- ML: 28
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- Performance and Architecture: 51
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- Storage: 1
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- Web: 10
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- .NET SDK: 1
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- 5G: 1
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- ACL: 1
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- AI: 1
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- AI: 2
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- Android Studio: 1
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- Ansible: 2
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- Arm Compiler for Linux: 1
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- Coding: 17
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- conda: 1
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- Daytona: 1
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- Demo: 4
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- Demo: 3
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- Django: 1
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- Docker: 17
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- Envoy: 2
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- Glibc: 1
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- Go: 2
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- Google Axion: 3
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- Google Benchmark: 1
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- Google Cloud: 1
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- GoogleTest: 1
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- HammerDB: 1
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- Herd7: 1
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- InnoDB: 1
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- Intrinsics: 1
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- IoT: 1
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- Java: 3
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- JAX: 1
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- Kafka: 1
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- llvm-mca: 1
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- LSE: 1
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- MariaDB: 1
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- MCP: 1
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- Memcached: 2
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- MLPerf: 1
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- ModelScope: 1
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- Nginx: 3
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- Node.js: 3
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- Ollama: 1
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- ONNX Runtime: 1
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- OpenBLAS: 1
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- PAPI: 1
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- perf: 4
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- PostgreSQL: 4
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- Python: 26
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- PyTorch: 8
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- Python: 28
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- PyTorch: 9
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- RAG: 1
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- Redis: 3
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- Remote.It: 2
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- RME: 4
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- Runbook: 65
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- Runbook: 66
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- Rust: 2
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- snappy: 1
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- Snort3: 1
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weight: 1
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cloud_service_providers_filter:
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- AWS: 17
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- Google Cloud: 10
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- Microsoft Azure: 8
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- Google Cloud: 12
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- Microsoft Azure: 9
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- Oracle: 2
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---

content/learning-paths/servers-and-cloud-computing/cpp-profile-guided-optimisation/how-to-1.md

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Additionally, the process requires extra build steps, potentially increasing compile times for large codebases. Therefore, use PGO only on performance-critical sections that are heavily influenced by actual runtime behavior. PGO might not be ideal for early-stage development or applications with highly variable or unpredictable usage patterns.
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For further information, see the [GCC documentation](https://gcc.gnu.org/onlinedocs/gcc-13.3.0/gcc/Instrumentation-Options.html) for further details on enabling and using PGO.
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For further information, see the [GCC documentation](https://gcc.gnu.org/onlinedocs/gcc-13.3.0/gcc/Instrumentation-Options.html) on enabling and using PGO.

content/learning-paths/servers-and-cloud-computing/cpp-profile-guided-optimisation/how-to-2.md

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### Filtering and Preventing Compiler Optimizations
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Google Benchmark provides tools to ensure accurate measurements by preventing unintended compiler optimizations and allowing flexible benchmark selection.
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Google Benchmark provides tools to ensure accurate measurements by preventing unintended compiler optimizations and allowing flexible benchmark selection.
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1. **Preventing Optimizations**: Use `benchmark::DoNotOptimize(value);` to force the compiler to read and store a variable or expression, ensuring it is not optimized away.
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