Presenter: Stefan zur Bonsen, Student at ETH Zurich
Dalia is a Python library implementing some statistical modelling tools that I have been working on as a semester project.
The library is currently being refactored to be more modular and less messy, so that it can be used by more people.
My part in this project is the implementation of the backend and making sure that the framework works on both CPUs and Accelerators (GPUs/NPUs). The poster would contain information about how that is done.
It should be understandable for anyone with a basic understanding of Python and numpy/scipy.
Readers will learn about hardware acceleration with cupy and nvmath as well as how to possibly unify a backend to support hardware acceleration and normal operation.