Notebooks

This page provides a list of useful Jupyter notebooks written with the nvcc4jupyter library.

Note

These notebooks are written for Google’s Colab, but you may run them in other environments by installing all expected dependencies. If running in Colab, make sure to set the runtime type to a GPU instance (at the time of writing this, T4 is the GPU offered for free by Colab).

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Compiling with external libraries

[NOTEBOOK]

If you need to compile CUDA C++ code that uses external libraries in the host code (e.g. OpenCV for reading and writing images to disk) then this section is for you.

To achieve this, use the compiler-args option of the cuda magic command to pass the correct compiler options of the OpenCV library to nvcc for it to link the OpenCV code with the code in your Jupyter cell. Those compiler options can be provided by the pkg-config tool.

In the notebook we show how to use OpenCV to load an image, blur it with a CUDA kernel, and then save it back to disk using OpenCV again.