WideLM: Fitting many skinny linear models to a single data set
WideLM fits large numbers of linear models to a fixed
design matrix and response. An Nvidia GPU is used to
accelerate model fitting, with the CUDA API enabling parallel
execution of multiple individual fits. The individual models
must have modest size. The package implements a chunking
interface to the GPU kernel, allowing the caller to stream
model specifications. Hence the number of fits to be performed
is essentially unlimited.
| Version: |
0.1-1 |
| Depends: |
Rcpp |
| LinkingTo: |
Rcpp |
| Published: |
2012-02-17 |
| Author: |
Mark Seligman, with contributions from Chris Fraley. |
| Maintainer: |
Mark Seligman <Mark.Seligman at insilicos.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://insilicos.com/products/widelm |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Nvidia's CUDA toolkit (release >= 4.1); Linux
operationg system; gcc (release <= 4.5). |
| In views: |
HighPerformanceComputing |
| CRAN checks: |
WideLM results |
Downloads: