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content/learning-paths/servers-and-cloud-computing/dotnet-migration/2-add-shared-c-library.md

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## Compiling for Arm
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If you are compiling for Arm directly on Azure Cobalt, the compiler understands what default processor optimizations it should use, and you can compile as done above. However, if you are cross-compiling in your build pipeline, you should specify `-mcpu=neoverse-n2 -O3` when running the cross-compiler:
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If you are compiling for Arm directly on Azure Cobalt, the compiler understands the default processor optimizations it should use, and you can compile in the same way as above.
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However, if you are cross-compiling in your build pipeline, you should specify `-mcpu=neoverse-n2 -O3` when running the cross-compiler:
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```bash
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aarch64-linux-gnu-gcc -mcpu=neoverse-n2 -O3 -shared -o libmylib.so -fPIC mylib.c

content/learning-paths/servers-and-cloud-computing/dotnet-migration/3-any-cpu.md

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title: Configure and run an architecture-agnostic OrchardCore app on Arm and x86 using .NET AnyCPU
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title: Configure and run an OrchardCore app
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weight: 4
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### FIXED, DO NOT MODIFY

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

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minutes_to_complete: 25
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who_is_this_for: This is an advanced topic path for .NET developers who want to take advantage of the performance and cost benefits of Azure Cobalt processors.
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who_is_this_for: This is an advanced topic for .NET developers who want to take advantage of the performance and cost benefits of Azure Cobalt processors.
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learning_objectives:
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- Build and run a basic OrchardCore CMS application

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