The 'KeOps' library lets you compute generic reductions of very large arrays whose entries are given by a mathematical formula. It combines a tiled reduction scheme with an automatic differentiation engine, and can be used through 'R', 'Matlab', 'NumPy' or 'PyTorch' backends. It is perfectly suited to the computation of Kernel dot products and the associated gradients, even when the full kernel matrix does not fit into the GPU memory.
| Version: | 1.4.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 1.0.1), openssl (≥ 1.3), stringr (≥ 1.4.0) |
| LinkingTo: | Rcpp (≥ 1.0.1), RcppEigen (≥ 0.3.3.5) |
| Suggests: | testthat (≥ 2.1.0), knitr, rmarkdown |
| OS_type: | unix |
| Published: | 2020-05-25 |
| Author: | Benjamin Charlier [aut] (<http://imag.umontpellier.fr/~charlier/>), Jean Feydy [aut] (<https://www.math.ens.fr/~feydy/>), Joan A. Glaunès [aut] (<https://www.mi.parisdescartes.fr/~glaunes/>), Ghislain Durif [aut, cre] (<https://gdurif.perso.math.cnrs.fr/>), François-David Collin [ctb] (Development-related consulting and support), Daniel Frey [ctb] (Author of the included C++ library 'sequences') |
| Maintainer: | Ghislain Durif <gd.dev at libertymail.net> |
| BugReports: | https://github.com/getkeops/keops/issues |
| License: | MIT + file LICENSE |
| Copyright: | see file COPYRIGHTS |
| URL: | https://www.kernel-operations.io/, https://github.com/getkeops/keops/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11, cmake (>= 3.10), clang (optional), CUDA (optional but recommended) |
| Materials: | README |
| CRAN checks: | rkeops results |
| Reference manual: | rkeops.pdf |
| Vignettes: |
Introduction to RKeOps RKeOps: R bindings for KeOps |
| Package source: | rkeops_1.4.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | rkeops archive |
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