R computing on GPU using RKeOps

Author

Affiliation

Ghislain Durif

LBMC, ENS de Lyon, CNRS UMR 5239, Inserm U1293, Université Claude Bernard Lyon 1 – Lyon, France

Welcome

ANF “R pour le calcul”, 23-27/09/2024, Fréjus, France

• Tutorial material: https://gdurif.pages.math.cnrs.fr/r-gpu-rkeops/

• Tutorial source: https://plmlab.math.cnrs.fr/gdurif/r-gpu-rkeops/

• Computing resource for the tutorial: https://jupyterhub-rcalcul.apps.math.cnrs.fr/ (login with your institutional account)

• KeOps website (documentation): https://www.kernel-operations.io

• {rkeops} dedicated website: https://www.kernel-operations.io/rkeops/

• KeOps (rkeops and pykeops) source code: https://github.com/getkeops/keops

• KeOps publication: Charlier et al. (2021)

Charlier, Benjamin, Jean Feydy, Joan Alexis Glaunès, François-David Collin, and Ghislain Durif. 2021. “Kernel Operations on the GPU, with Autodiff, Without Memory Overflows.” Journal of Machine Learning Research 22 (74): 1–6. https://jmlr.org/papers/v22/20-275.html.