This package provides R interfaces to a handful of common 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 R routines.
| Version: | 0.1-3 |
| Depends: | R (≥ 2.8.0) |
| Published: | 2009-09-03 |
| Author: | Josh Buckner |
| Maintainer: | Josh Buckner <bucknerj at umich.edu> |
| License: | GPL-3 |
| URL: | http://brainarray.mbni.med.umich.edu/Brainarray/Rgpgpu |
| SystemRequirements: | nvcc (>= release 2.1) nVidia GPU (compute number >= 1.3) |
| Installation: | gputools installation info |
| In views: | HighPerformanceComputing |
| CRAN checks: | gputools results |
| Package source: | gputools_0.1-3.tar.gz |
| MacOS X binary: | gputools_0.1-1.tgz |
| Windows binary: | not available, see ReadMe. |
| Reference manual: | gputools.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | gputools archive |