rkeops
Kernel Operations on GPU or CPU, with Autodiff, without Memory Overflows
The 'KeOps' library lets you compute generic reductions of very large arrays whose entries are given by a mathematical formula with CPU and GPU computing support. It combines a tiled reduction scheme with an automatic differentiation engine. It is perfectly suited to the efficient computation of Kernel dot products and the associated gradients, even when the full kernel matrix does not fit into the GPU memory.
- Version2.2.2
- R versionunknown
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- OSunix
- Last release02/12/2024
Documentation
Team
Ghislain Durif
Amelie Vernay
Show author detailsRolesAuthorChloe Serre-Combe
Show author detailsRolesAuthorBenjamin Charlier
Show author detailsRolesAuthorJean Feydy
Show author detailsRolesAuthorJoan A. Glaunès
Show author detailsRolesAuthorFrançois-David Collin
Show author detailsRolesContributor
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- Imports12 packages
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