GSoC 2023 Project Ideas

Google Summer of Code 2023: Project Ideas for PyLops

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.

Getting Started