R Users, I am happy to inform you that my 'gpuR' package has just been accepted to CRAN. https://cran.r-project.org/web/packages/gpuR/index.html The gpuR package is designed to provide simple to use functions for leveraging GPU's for computing. Although there are a couple existing packages for GPU's in R most are specific to NVIDIA GPU's and have very limited and specific functions. The packaged is based on an OpenCL backend in conjunction with the ViennaCL library (which is packaged within the RViennaCL package). This allows the user to use almost any GPU (Intel, AMD, or NVIDIA). It is my hope that these functions can be used to more rapidly develop algorithms within R that can leverage GPUs. The package is structured to use a few new S4 classes that retain the object either on the host CPU or in GPU memory (thereby avoiding transfer time). I have included a minimal introductory vignette describing the package further, providing a simple use case, and listing currently available functions. https://cran.r-project.org/web/packages/gpuR/vignettes/gpuR.pdf You can view the github page here: https://github.com/cdeterman/gpuR which also contains a wiki to help with installation. Although it must be compiled, it is able to be installed on Linux, Mac OSX, and Windows platforms. I welcome any comments, issues (please submit on the github), and of course additional contributions. Regards, Charles Determan [[alternative HTML version deleted]]