magma: Matrix Algebra on GPU and Multicore Architectures

Magma matrix classes and methods for parallel processing of matrix algebra operations. Operations are performed with algorithms developed by the MAGMA research project. MAGMA aims to achieve the fastest possible linear algebra libraries on hybrid multicore CPU and GPU architectures by exploiting their massive parallelism and minimizing communication latencies.

Version: 1.3.0-2
Depends: R (≥ 2.11.0), methods
OS_type: unix
Published: 2013-04-03
Author: Brian J Smith
Maintainer: Brian J Smith <brian-j-smith at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: MAGMA shared libraries (== release 1.3.0), LAPACK shared library, NVIDIA CUDA Toolkit (>= release 4.0)
Citation: NA
Materials: NA
In views: HighPerformanceComputing
CRAN checks: magma results


Reference manual: magma.pdf
Package source: magma_1.3.0-2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available
Old sources: magma archive