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Cosmin Ștefan Ciocan
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1.3 KiB
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35 lines
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*********
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Notebooks
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*********
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This page provides a list of useful Jupyter notebooks written with the
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**nvcc4jupyter** library.
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.. note::
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These notebooks are written for Google's Colab, but you may run them in
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other environments by installing all expected dependencies. If running in
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Colab, make sure to set the runtime type to a GPU instance (at the time of
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writing this, T4 is the GPU offered for free by Colab).
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------
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.. _compiling_with_external_libraries:
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Compiling with external libraries
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=================================
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[`NOTEBOOK <https://colab.research.google.com/drive/1iuY46DCwv4hy3SqDhJgFeO8kgpHnzjTh?usp=sharing>`_]
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If you need to compile CUDA C++ code that uses external libraries in the host
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code (e.g. OpenCV for reading and writing images to disk) then this section is
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for you.
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To achieve this, use the :ref:`compiler-args <compiler_args>` option of the
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:ref:`cuda <cuda_magic>` magic command to pass the correct compiler options
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of the OpenCV library to **nvcc** for it to link the OpenCV code with the
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code in your Jupyter cell. Those compiler options can be provided by the
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`pkg-config <https://www.freedesktop.org/wiki/Software/pkg-config/>`_ tool.
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In the notebook we show how to use OpenCV to load an image, blur it with a CUDA
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kernel, and then save it back to disk using OpenCV again.
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