| Name : R-GPUmatrix
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:02:20
|
| Group : Development/Libraries/Other
| Source RPM : R-GPUmatrix-1.0.2-lp153.2.2.src.rpm
|
| Size : 3.72 MB
| |
| Packager : (none)
| |
| Summary : Basic Linear Algebra with GPU
|
Description :
GPUs are great resources for data analysis, especially in statistics
and linear algebra. Unfortunately, very few packages connect R to the
GPU, and none of them are transparent enough to run the computations on
the GPU without substantial changes to the code. The maintenance of
these packages is cumbersome: several of the earlier attempts have been
removed from their respective repositories. It would be desirable to
have a properly maintained R package that takes advantage of the GPU
with minimal changes to the existing code. We have developed the
GPUmatrix package (available on CRAN). GPUmatrix mimics the behavior of
the Matrix package and extends R to use the GPU for computations. It
includes single(FP32) and double(FP64) precision data types, and
provides support for sparse matrices. It is easy to learn, and requires
very few code changes to perform the operations on the GPU. GPUmatrix
relies on either the Torch or Tensorflow R packages to perform the GPU
operations. We have demonstrated its usefulness for several statistical
applications and machine learning applications: non-negative matrix
factorization, logistic regression and general linear models. We have
also included a comparison of GPU and CPU performance on different
matrix operations.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
