gmatrix: GPU Computing in R

A general framework for utilizing R to harness the power of NVIDIA GPU's. The "gmatrix" and "gvector" classes allow for easy management of the separate device and host memory spaces. Numerous numerical operations are implemented for these objects on the GPU. These operations include matrix multiplication, addition, subtraction, the kronecker product, the outer product, comparison operators, logical operators, trigonometric functions, indexing, sorting, random number generation and many more.

Version: 0.3
Depends: methods, stats
OS_type: unix
Published: 2015-12-01
Author: Nathan Morris
Maintainer: Nathan Morris <njm18 at case.edu>
License: GPL-3 | file LICENSE
URL: https://github.com/njm18/gmatrix
NeedsCompilation: yes
SystemRequirements: Nvidia's CUDA toolkit (>= release 5.0) and Nvidia GPU with compute capibility >=2.0
Materials: README
In views: HighPerformanceComputing
CRAN checks: gmatrix results

Downloads:

Reference manual: gmatrix.pdf
Package source: gmatrix_0.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: gmatrix archive

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