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https://github.com/andreinechaev/nvcc4jupyter.git
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Mark Saroufim
38 lines
1.3 KiB
Markdown
38 lines
1.3 KiB
Markdown
## NVCC Plugin for Jupyter notebook
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### V2 is available
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V2 brings support of multiple source and header files.
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##### Usage
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- Install and load extension
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```
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!pip install git+https://github.com/andreinechaev/nvcc4jupyter.git
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%load_ext nvcc_plugin
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```
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- Mark a cell to be treated as cuda cell
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> `%%cuda --name example.cu --compile false`
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>> NOTE: The cell must contain either code or comments to be run successfully.
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>> It accepts 2 arguments. `-n` | `--name` - which is the name of either CUDA source or Header
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>> The name parameter must have extension `.cu` or `.h`
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>> Second argument `-c` | `--compile`; default value is `false`. The argument is a flag to specify
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>> if the cell will be compiled and run right away or not. It might be usefull if you're playing in
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>> the `main` function
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- To compile and run all CUDA files you need to run
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```
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%%cuda_run
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# This line just to bypass an exeption and can contain any text
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```
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- To profile your CUDA kernels using NVIDIA Nsight Compute CLI profiler you need to run
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```
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%%cu --profile
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```
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- You can add options to the profiler. Keep in mind that any argument after "--profiler-args" will be considered as a profiler argument. For example, to select which sections to collect metrics for you need to run
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```
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%%cu --profile --profiler-args --section SpeedOfLight --section MemoryWorkloadAnalysis --section Occupancy
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```
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