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.
|Author||Sven Koitka [aut, cre, cph], Christoph M. Friedrich [ctb]|
|Date of publication||2016-10-17 12:41:21|
|Maintainer||Sven Koitka <firstname.lastname@example.org>|
|License||GPL-3 | file LICENSE|
chooseDevice: Selects the specified device as primary computation device....
deviceCount: Retrieves the total number of installed CUDA devices.
deviceMemoryInfo: Requests the currently available and total amount of device...
nmf: Non-negative Matrix Factorization (NMF) on GPU
nmfgpu4R: R binding for computing non-negative matrix factorizations...
nmfgpu4R.init: Initializes the C++ library nmfgpu, which provides the core...
print.DeviceMemoryInfo: Prints the information of a 'DeviceMemoryInfo' object.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.