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rkeops  

Kernel Operations on GPU or CPU, with Autodiff, without Memory Overflows
View on CRAN: Click here


Download and install rkeops package within the R console
Install from CRAN:
install.packages("rkeops")

Install from Github:
library("remotes")
install_github("cran/rkeops")

Install by package version:
library("remotes")
install_version("rkeops", "1.4.2.2")



Attach the package and use:
library("rkeops")
Maintained by
Ghislain Durif
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2021-02-17
Description:
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.
How to cite:
Ghislain Durif (2020). rkeops: Kernel Operations on GPU or CPU, with Autodiff, without Memory Overflows. R package version 1.4.2.2, https://cran.r-project.org/web/packages/rkeops. Accessed 27 Jan. 2025.
Previous versions and publish date:
1.4.1.1 (2020-09-04 14:10), 1.4.1 (2020-05-26 00:10), 1.4.2.2 (2021-02-17 16:50), 1.4.2 (2021-02-16 18:30), 1.4 (2020-03-20 10:30)
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