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Merge pull request #2524 from jasonrandrews/review
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5 files changed

+140
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.wordlist.txt

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ZYNQ
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zypper
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ZZa
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ZZZZZ
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ZZZZZ
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Abouelseoud
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ActiveRecord
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Axion's
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Ayoub
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BeagleBone
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Bourjilat
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Buildroot's
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Bundler
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CGO
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ConfigMap
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CubeProgrammer
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DEBLOAT
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DGX
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DTC
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Disaggregated
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EP
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Espressif
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FPARMv
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FRDM
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FirewallD
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Flink's
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IDQ
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Kustomize
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LinkServer
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MCXN
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MIS
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MVC
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NVLink
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OpenOCD
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PRED
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PackageCloud
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Puncover
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PyOCD
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RemoteChannelThroughputBenchmark
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Retbleed
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SEGGER
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SVD
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Skaffold
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Skylake
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Spectre
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Superchip
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TARGETPLATFORM
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TFLOPs
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TMA
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TMAM
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UNHALTED
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VPCs
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Vmlinux
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WordCount
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YJIT
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Yahya
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backend's
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btop
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carkservice
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cartservice
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checkpointing
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cours
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dgx
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dtlb
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emailservice
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firewalld
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fopenmp
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fs
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htop
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ident
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insmod
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itlb
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ko
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kube
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loadgen
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loadgenerator
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microbenchmarks
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microcoded
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microoperation
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mknod
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mpki
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mtune
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mvn
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mychardrv
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nRF
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narrowings
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navpane
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nginx's
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nvcc
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nvtop
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oRT
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petaFLOP
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plaintext
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rbenv
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recommendationservice
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remoteRebalance
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residually
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rubyonrails
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sdcard
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smi
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spiko
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transpile
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tsc
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typescriptlang
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vmlinux

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

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- Baremetal: 30
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- Linux: 31
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- macOS: 7
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- RTOS: 9
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- RTOS: 10
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- Windows: 4
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subjects_filter:
1919
- CI-CD: 5
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- Libraries: 3
2323
- ML: 17
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- Performance and Architecture: 21
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- RTOS Fundamentals: 4
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- RTOS Fundamentals: 5
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- Security: 2
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- Virtual Hardware: 2
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subtitle: Learn best practices for microcontroller development
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- Arm Fast Models: 4
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- Arm Virtual Hardware: 12
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- Assembly: 1
40-
- C: 4
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- C: 5
4141
- C++: 1
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- ChatGPT: 1
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- Clang: 1
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- TVMC: 1
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- vcpkg: 1
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- Yocto Project: 1
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- Zephyr: 1
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- Zephyr: 2
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weight: 5
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---

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

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operatingsystems_filter:
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- Android: 2
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- ChromeOS: 2
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- Linux: 34
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- Linux: 35
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- macOS: 9
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- Windows: 46
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subjects_filter:
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- CI-CD: 5
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- Containers and Virtualization: 7
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- Migration to Arm: 30
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- ML: 2
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- ML: 3
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- Performance and Architecture: 27
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subtitle: Create and migrate apps for power efficient performance
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title: Laptops and Desktops
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- Arm Performance Libraries: 2
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- Arm64EC: 1
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- Assembly: 1
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- Bash: 1
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- C: 8
31+
- Bash: 2
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- C: 9
3333
- C#: 6
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- C++: 11
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- CCA: 1
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- Kubernetes: 1
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- KVM: 1
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- Linux: 1
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- llama.cpp: 1
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- LLM: 1
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- LLVM: 2
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- llvm-mca: 1
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- OpenCV: 1
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- perf: 4
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- PowerShell: 1
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- Python: 6
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- Python: 7
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- QEMU: 1
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- Qt: 2
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- RDP: 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: 3
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- Linux: 185
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- Linux: 191
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- macOS: 13
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- Windows: 14
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pinned_modules:
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- migration
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subjects_filter:
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- CI-CD: 9
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- Containers and Virtualization: 32
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- Databases: 19
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- Containers and Virtualization: 34
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- Databases: 20
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- Libraries: 9
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- ML: 32
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- Performance and Architecture: 72
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- Performance and Architecture: 73
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- Storage: 2
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- Web: 14
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- Web: 16
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subtitle: Optimize cloud native apps on Arm for performance and cost
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title: Servers and Cloud Computing
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tools_software_languages_filter:
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- Arm Development Studio: 3
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- Arm ISA: 1
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- Arm Performance Libraries: 1
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- Arm Streamline: 1
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- Arm Performance Studio: 1
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- Arm Streamline: 2
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- armclang: 1
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- armie: 1
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- ArmRAL: 1
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- AWS Lambda: 1
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- Azure CLI: 2
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- Azure Portal: 1
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- Bash: 1
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- bash: 2
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- Bash: 1
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- Bastion: 3
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- BOLT: 2
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- bpftool: 1
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- Clang: 13
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- ClickBench: 1
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- ClickHouse: 1
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- Cloud Build: 1
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- CMake: 1
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- conda: 1
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- cqlsh: 1
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- Docker Buildx: 1
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- Envoy: 3
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- ExecuTorch: 1
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- Express: 1
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- FAISS: 1
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- FlameGraph: 1
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- Flink: 1
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- Flink: 2
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- Fortran: 1
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- FunASR: 1
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- FVP: 7
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- GitHub Actions: 1
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- GitHub CLI: 1
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- GitLab: 1
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- GKE: 1
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- glibc: 1
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- Go: 4
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- Golang: 1
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- Intrinsics: 1
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- iPerf3: 1
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- ipmitool: 1
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- Java: 5
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- Java: 6
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- JAX: 1
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- JMH: 1
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- Kafka: 2
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- KEDA: 1
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- Kedify: 1
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- Keras: 1
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- Kubernetes: 11
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- Kubernetes: 12
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- Libamath: 1
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- libbpf: 1
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- Linaro Forge: 1
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- Linux kernel: 1
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- Litmus7: 1
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- llama.cpp: 1
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- Llama.cpp: 2
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- llama.cpp: 1
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- LLM: 10
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- llvm-mca: 1
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- LSE: 1
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- MariaDB: 1
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- Maven: 1
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- Memcached: 2
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- MLPerf: 1
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- ModelScope: 1
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- Networking: 1
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- Nexmark: 1
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- NGINX: 4
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- nginx: 1
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- Node.js: 5
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- npm: 2
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- node.js: 1
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- npm: 3
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- Ollama: 1
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- ONNX Runtime: 2
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- OpenBLAS: 1
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- PAPI: 1
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- perf: 6
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- Perf: 1
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- Performance analysis: 1
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- PHP: 1
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- PHPBench: 1
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- PostgreSQL: 4
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- PostgreSQL: 5
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- Profiling: 1
172179
- Python: 32
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- PyTorch: 9
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- QEMU: 1
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- RAG: 1
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- Rails: 1
176184
- Redis: 3
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- Remote.It: 2
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- RME: 8
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- Ruby: 1
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- Runbook: 71
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- Rust: 2
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- Service Mesh: 1
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- Siege: 1
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- Skaffold: 1
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- snappy: 1
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- Snort3: 1
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- SQL: 8
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- Trusted Firmware: 1
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- Trustee: 1
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- TSan: 1
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- TypeScript: 1
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- TypeScript: 2
202212
- Vectorscan: 1
203213
- Veraison: 2
204214
- Visual Studio Code: 5
205215
- vLLM: 2
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- vvenc: 1
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- Web Server: 1
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- Whisper: 1
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- WindowsPerf: 1
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- WordPress: 3
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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: 23
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- Microsoft Azure: 18
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- Google Cloud: 26
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- Microsoft Azure: 19
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- Oracle: 2
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---

content/learning-paths/servers-and-cloud-computing/typescript-on-gcp/benchmarking.md

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## JMH-style Custom Benchmarking
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This section demonstrates how to benchmark TypeScript functions using a JMH-style (Java Microbenchmark Harness) methodology implemented with Node.jss built-in `perf_hooks` module.
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This section demonstrates how to benchmark TypeScript functions using a JMH-style (Java Microbenchmark Harness) methodology implemented with Node.js's built-in `perf_hooks` module.
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Unlike basic `console.time()` measurements, this approach executes multiple iterations, computes the average runtime, and produces stable and repeatable performance data, useful for evaluating workloads on your Google Cloud C4A (Axion Arm64) VM running SUSE Linux.
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### Create the Benchmark Script

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