Package: magma
Title: Matrix Algebra on GPU and Multicore Architectures
Version: 0.2.1-3
Date: 2010-08-20
Author: Brian J Smith <brian-j-smith@uiowa.edu>
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Depends: R (>= 2.10.0), methods
SystemRequirements: MAGMA shared libraries (== release 0.2), LAPACK
shared library, NVIDIA CUDA Toolkit (>= release 3.0)
Description: 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.
License: GPL (>= 3)
URL: http://icl.cs.utk.edu/magma
OS_type: unix
Packaged: 2010-08-20 13:23:04 UTC; bjsmith
Repository: CRAN
Date/Publication: 2010-08-20 20:29:53

Package: magma
Title: Matrix Algebra on GPU and Multicore Architectures
Version: 0.2.2-1
Date: 2010-08-27
Author: Brian J Smith <brian-j-smith@uiowa.edu>
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Depends: R (>= 2.10.0), methods
SystemRequirements: MAGMA shared libraries (== release 0.2), LAPACK
shared library, NVIDIA CUDA Toolkit (>= release 3.0)
Description: 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.
License: GPL (>= 3)
URL: http://icl.cs.utk.edu/magma
OS_type: unix
Packaged: 2010-08-27 13:21:44 UTC; bjsmith
Repository: CRAN
Date/Publication: 2010-08-27 13:36:31

Package: magma
Title: Matrix Algebra on GPU and Multicore Architectures
Version: 1.3.0-2
Date: 2013-04-03
Author: Brian J Smith <brian-j-smith@uiowa.edu>
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>
Depends: R (>= 2.11.0), methods
SystemRequirements: MAGMA shared libraries (== release 1.3.0), LAPACK
shared library, NVIDIA CUDA Toolkit (>= release 4.0)
Description: 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.
License: GPL-3
URL: http://icl.cs.utk.edu/magma
OS_type: unix
Packaged: 2013-04-03 11:59:56 UTC; bjsmith
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-04-03 16:15:34