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README.md

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@@ -59,7 +59,7 @@ Run the program using the following commands:
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```sh
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$ ls
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Project.toml README.md main.jl src
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$ julia main.jl
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$ julia --project main.jl
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```
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You will see an output similar to this:
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Alternatively, you can launch the functionality directly from Julia:
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```julia
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$ julia --project
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julia> using TerminalSystemMonitor: main; main()
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```
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julia> using CUDA; using TerminalSystemMonitor: main; main()
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```
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## Why not `htop`?
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You might be familiar with the [htop](https://github.com/htop-dev/htop) command, which provides similar functionality. You can use `htop` in Julia as follows:
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You might be familiar with the [htop-dev/htop](https://github.com/htop-dev/htop), which provides similar functionality. You can use the `htop` command in Julia as follows:
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```julia
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julia> using Htop_jll; run(Htop_jll.htop())
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## Why not `bottom`?
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You can also use [bottom](https://github.com/ClementTsang/bottom), also known as the `btm` command:
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You can also use [ClementTsang/bottom](https://github.com/ClementTsang/bottom), also known as the `btm` command:
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```
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btm -b
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```
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However, our Julia package [TerminalSystemMonitor.jl](https://github.com/AtelierArith/TerminalSystemMonitor.jl) offers a cross-platform solution that integrates directly with Julia, providing similar functionality in a familiar environment.
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## Can I visualize GPU Apple Silicon processors?
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Technically yes, however, you may want to chekcout [context-labs/mactop](https://github.com/context-labs/mactop) or [tlkh/asitop](https://github.com/tlkh/asitop) to start instantly. To get information regarding GPU, we need to call `powermetrics` command which requires root privilege. If you are familiar with Rust language, [vladkens/macmon](https://github.com/vladkens/macmon) is what you need. It states "sudoless performance monitoring for Apple Silicon processors".

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