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GSoC 2023 Project Ideas
Thank you for your interest in applying for Google Summer of Code with CuPy!
PyLops is a Python library for large-scale, matrix-free optimization built on top of NumPy and SciPy (as well as other smaller libraries in the Python ecosystem: see this Overview for more details). Currently, a GPU backend, built on top of CuPy, is also offered that completely mirrors the original CPU backend: from a user perspective, the input arrays provided to operators and solvers drive the internal working of each operator/solver (i.e., if a NumPy array is passed the entire computation is run on CPU, if a CuPy array is passed the entire computation is run on GPU).
Contributing to PyLops will help everyone in the Python ecosystem to run large-scale optimization problems seamlessly as if they were running their dense matrix counterpart using purely NumPy and SciPy routines.
This year, we are planning to accept 1 student in total and below we provide 3 possible projects we would like them to work on.
If you are new to PyLops and would like to become familiar with our codebase, take a look at some of our tutorials:
- Transform 2022: Youtube video links.
- Transform 2021: Youtube video links.
- Swung Rendezvous 2021: Youtube video links.
- PyDataGlobal 2020: Youtube video links.
It is also a good idea to browse through our main documentation and its tutorials and gallery.
Notes
On the student registration form, please prefix your title with PyLops: and choose N/A for "NumFOCUS proposal tag".
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