Packaged: 2015-11-20 21:35:22 UTC; cdeterman

approachable manner.  New 'gpu*' and 'vcl*' classes have been provided to
LinkingTo: Rcpp, RcppEigen, RViennaCL (>= 1.7.1-1), BH
Packaged: 2016-03-16 12:37:38 UTC; cdeterman

Packaged: 2016-04-05 13:52:57 UTC; cdeterman

LinkingTo: Rcpp, RcppEigen, RViennaCL (>= 1.7.1.4), BH
Packaged: 2016-12-21 15:04:58 UTC; cdeterman

Packaged: 2017-01-05 14:43:32 UTC; cdeterman

LinkingTo: Rcpp, RcppEigen, RViennaCL (>= 1.7.1.7), BH

LinkingTo: Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0), RViennaCL (>=

Title: A Few Gpu-Enabled Data-Mining Functions
Author: Josh Buckner <bucknerj@umich.edu>, with contributions from
SystemRequirements: nvcc (>= release 2.1)
Description: This package provides R interfaces to a handful of common
data-mining algorithms.  These algorithms are implemented in
parallel using a mixture of nVidia's CUDA langauge and cublas
library.  On a computer equiped with an nVidia GPU these
functions may be substantially more efficient than native R
Packaged: Fri Apr 17 16:48:21 2009; josh

SystemRequirements: nvcc (>= release 2.1) nVidia GPU (compute number >=
statistical algorithms.  These algorithms are implemented in
parallel using a mixture of nVidia's CUDA langauge and CUBLAS
library.  On a computer equiped with an nVidia GPU some of
these functions may be substantially more efficient than native
Packaged: Wed Jun 24 14:36:02 2009; josh

Author: Josh Buckner <bucknerj@umich.edu>, Mark Seligman
SystemRequirements: Nvidia's CUDA toolkit (>= release 2.3)
statistical algorithms. These algorithms are implemented in
parallel using a mixture of Nvidia's CUDA langauge, Nvidia's
CUBLAS library, and EMI Photonics' CULA libraries. On a
computer equiped with an Nvidia GPU some of these functions may
be substantially more efficient than native R routines.

be substantially more efficient than native R routines. Thanks
to Craig Stark at UC Irvine for donating time on his lab's Mac

Author: Josh Buckner <nullsatz@gmail.com>, Mark Seligman
parallel using a mixture of Nvidia's CUDA language, Nvidia's
computer equipped with an Nvidia GPU some of these functions
may be substantially more efficient than native R routines.
Thanks to Craig Stark at UC Irvine for donating time on his