nmfgpu4R: Non-Negative Matrix Factorization (NMF) using CUDA

Wrapper package for the nmfgpu library, which implements several Non-negative Matrix Factorization (NMF) algorithms for CUDA platforms. By using the acceleration of GPGPU computing, the NMF can be used for real-world problems inside the R environment. All CUDA devices starting with Kepler architecture are supported by the library.

Install the latest version of this package by entering the following in R:
install.packages("nmfgpu4R")
AuthorSven Koitka [aut, cre, cph], Christoph M. Friedrich [ctb]
Date of publication2016-10-17 12:41:21
MaintainerSven Koitka <sven.koitka@fh-dortmund.de>
LicenseGPL-3 | file LICENSE
Version0.2.5.2
https://github.com/razorx89/nmfgpu4R

View on CRAN

Files

src
src/Makevars
src/nmfgpu.h
src/WrapperNMFGPU.h
src/Helper.h
src/nmfgpu4R.cpp
src/WrapperNMFGPU.cpp
src/Helper.cpp
src/Makevars.win
src/RcppExports.cpp
NAMESPACE
R
R/nmfgpu4R.R R/nmfgpu.R R/RcppExports.R R/helper.R
MD5
DESCRIPTION
man
man/nmf.Rd man/chooseDevice.Rd man/deviceCount.Rd man/nmfgpu4R.init.Rd man/nmfgpu4R.Rd man/print.DeviceMemoryInfo.Rd man/deviceMemoryInfo.Rd
LICENSE

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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