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5 files changed

+111
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.wordlist.txt

Lines changed: 71 additions & 1 deletion
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@@ -3266,4 +3266,74 @@ kubearchinspect
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mlops
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multithreading
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preloaded
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requantize
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requantize
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ADK
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AbstRaction
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Alaaeddine
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Albin
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AliCloud
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Astra
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Bernhardsson
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BitBake
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Chakroun
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ColorAttachment
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CommandEncoder
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CustomDataSources
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DawnWebGPU
3283+
ETL
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ETW
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GameActivity
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Georgios
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ISAs
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Jetpack
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KV
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Koki
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LearnWebGPU
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Mermigkis
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Mitsunami
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Naga
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NativeActivity
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OpenGLES
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Perfetto
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Qwen
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RSE
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RTP
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RenderPassEncoder
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RenderPipeline
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SECurity
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SPIR
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SType
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StackOverflow
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SurfaceView
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TextureView
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Thelio
3310+
Tianyu
3311+
TinyOBJLoader
3312+
Tmux
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WGSL
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WPR
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WebGL
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WebGPU
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WebGPU’s
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Xperf
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andc
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andnot
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dylib
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eliemichel
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epi
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intrinsic's
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pApp
3326+
rtp
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samdauwe
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shaderCodeDesc
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transpilation
3330+
usecase
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varunchariArm
3332+
vbic
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vbicq
3334+
webgpu
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webgpufundamentals
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wgpuQueueSubmit
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wgpuQueueWriteBuffer
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wgpuQueueWriteTexture
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wpa

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

Lines changed: 12 additions & 10 deletions
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@@ -11,14 +11,14 @@ operatingsystems_filter:
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- Android: 2
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- Baremetal: 1
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- ChromeOS: 1
14-
- Linux: 27
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- Linux: 29
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- macOS: 7
16-
- Windows: 35
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- Windows: 36
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subjects_filter:
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- CI-CD: 3
19-
- Containers and Virtualization: 5
19+
- Containers and Virtualization: 6
2020
- Migration to Arm: 25
21-
- Performance and Architecture: 18
21+
- Performance and Architecture: 20
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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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tools_software_languages_filter:
@@ -28,17 +28,18 @@ tools_software_languages_filter:
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- Arm Development Studio: 2
2929
- Arm64EC: 1
3030
- assembly: 1
31+
- Automotive: 1
3132
- C: 2
3233
- C#: 5
3334
- C++: 2
3435
- C/C++: 4
3536
- CCA: 1
36-
- Clang: 8
37+
- Clang: 9
3738
- CMake: 2
38-
- Coding: 18
39+
- Coding: 19
3940
- CSS: 1
4041
- Docker: 4
41-
- GCC: 8
42+
- GCC: 9
4243
- GitHub: 2
4344
- GitLab: 1
4445
- GoogleTest: 1
@@ -55,22 +56,23 @@ tools_software_languages_filter:
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- Neon: 1
5657
- Neovim: 1
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- Node.js: 3
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- perf: 1
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- perf: 2
5960
- Python: 2
6061
- Qt: 2
6162
- Remote.It: 1
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- RME: 1
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- Rust: 1
64+
- Rust: 2
6465
- SVE: 1
6566
- SVE2: 1
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- Trusted Firmware: 1
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- Visual Studio: 9
6869
- Visual Studio Code: 9
6970
- VS Code: 2
7071
- Windows Forms: 1
72+
- Windows Performance Analyzer: 1
7173
- Windows Presentation Foundation: 1
7274
- Windows Sandbox: 1
73-
- WindowsPerf: 2
75+
- WindowsPerf: 3
7476
- WinUI 3: 1
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- WSL: 1
7678
- Xamarin Forms: 1

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

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@@ -9,7 +9,7 @@ maintopic: true
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operatingsystems_filter:
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- Android: 2
1111
- Baremetal: 1
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- Linux: 107
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- Linux: 109
1313
- macOS: 9
1414
- Windows: 12
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pinned_modules:
@@ -23,8 +23,8 @@ subjects_filter:
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- Containers and Virtualization: 25
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- Databases: 15
2525
- Libraries: 6
26-
- ML: 13
27-
- Performance and Architecture: 37
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- ML: 14
27+
- Performance and Architecture: 38
2828
- Storage: 1
2929
- Web: 10
3030
subtitle: Optimize cloud native apps on Arm for performance and cost
@@ -57,22 +57,22 @@ tools_software_languages_filter:
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- Capstone: 1
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- CCA: 3
5959
- Clair: 1
60-
- Clang: 9
60+
- Clang: 10
6161
- ClickBench: 1
6262
- ClickHouse: 1
6363
- CloudFormation: 1
6464
- CMake: 1
65-
- Coding: 19
65+
- Coding: 20
6666
- Django: 1
6767
- Docker: 15
6868
- Envoy: 2
6969
- Flink: 1
7070
- Fortran: 1
7171
- FVP: 3
72-
- GCC: 17
72+
- GCC: 18
7373
- gdb: 1
7474
- Geekbench: 1
75-
- GenAI: 4
75+
- GenAI: 5
7676
- GitHub: 3
7777
- GitLab: 1
7878
- Glibc: 1
@@ -91,7 +91,7 @@ tools_software_languages_filter:
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- Lambda: 1
9292
- libbpf: 1
9393
- Linaro Forge: 1
94-
- LLM: 2
94+
- LLM: 3
9595
- llvm-mca: 1
9696
- LSE: 1
9797
- MariaDB: 1
@@ -107,13 +107,13 @@ tools_software_languages_filter:
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- PAPI: 1
108108
- perf: 3
109109
- PostgreSQL: 4
110-
- Python: 11
110+
- Python: 12
111111
- PyTorch: 5
112112
- RAG: 1
113113
- Redis: 3
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- Remote.It: 2
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- RME: 3
116-
- Rust: 1
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- Rust: 2
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- snappy: 1
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- Snort: 1
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- SQL: 7

content/learning-paths/smartphones-and-mobile/_index.md

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- Mali
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maintopic: true
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operatingsystems_filter:
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- Android: 21
14-
- Linux: 19
15-
- macOS: 9
16-
- Windows: 8
13+
- Android: 23
14+
- Linux: 21
15+
- macOS: 10
16+
- Windows: 10
1717
subjects_filter:
1818
- Gaming: 6
1919
- Graphics: 3
20-
- ML: 7
21-
- Performance and Architecture: 23
20+
- ML: 8
21+
- Performance and Architecture: 24
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subtitle: Optimize Android apps and build faster games using cutting-edge Arm tech
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title: Smartphones and Mobile
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tools_software_languages_filter:
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- 7-Zip: 1
2626
- adb: 1
27-
- Android: 2
27+
- Android: 3
2828
- Android NDK: 1
2929
- Android SDK: 1
3030
- Android Studio: 7
@@ -34,30 +34,31 @@ tools_software_languages_filter:
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- assembly: 1
3535
- Bazel: 1
3636
- C#: 3
37-
- C++: 3
37+
- C++: 5
3838
- C/C++: 1
3939
- CCA: 1
40-
- Clang: 8
40+
- Clang: 9
4141
- CMake: 1
42-
- Coding: 17
42+
- Coding: 18
4343
- Fixed Virtual Platform: 1
4444
- Frame Advisor: 1
45-
- GCC: 9
45+
- GCC: 10
4646
- GenAI: 1
4747
- GoogleTest: 1
48-
- Java: 3
49-
- Kotlin: 2
48+
- Java: 4
49+
- Kotlin: 4
5050
- llvm-mca: 1
5151
- MediaPipe: 1
5252
- Memory Bug Report: 1
5353
- Memory Tagging Extension: 1
54-
- Mobile: 4
54+
- Mobile: 6
5555
- NDK: 1
5656
- NEON: 1
57-
- Python: 1
57+
- ONNX Runtime: 1
58+
- Python: 2
5859
- QEMU: 1
5960
- RME: 1
60-
- Rust: 1
61+
- Rust: 2
6162
- SDDiskTool: 1
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- SVE2: 1
6364
- Total Compute: 1

content/learning-paths/smartphones-and-mobile/android_webgpu_dawn/7-Profiling-App-using-Streamline.md

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@@ -52,7 +52,7 @@ As you can see from the above picture, there is some overlap between Fragment Qu
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This shows that the application is hitting the **Fast Path** that Arm has implemented to optimize performance of Dawn for Mali GPUs.
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The overlap is small since the application is rendering the same simple 3D object under different orientation. You can extend the application to render complex objects with multiple *Uniform BUffers*. This would show the overlap in more detail.
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The overlap is small since the application is rendering the same simple 3D object under different orientation. You can extend the application to render complex objects with multiple *Uniform Buffers*. This would show the overlap in more detail.
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{{% notice Tip %}}
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Feel free to experiment with different counters in Streamline and explore the other CPU profiling data as well.

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