Package: gcbd
Type: Package
Title: GPU/CPU Benchmarking in Debian-based systems
Version: 0.2.4
Date: $Date: 2010-10-02 16:11:37 -0500 (Sat, 02 Oct 2010) $
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Description: GPU/CPU Benchmarking on Debian-package based systems This
package benchmarks performance of a few standard linear algebra
operations (such as a matrix product and QR, SVD and LU
decompositions) across a number of different BLAS libraries as
well as a GPU implementation.
.
To do so, it takes advantage of the ability to 'plug and play'
different BLAS implementations easily on a Debian and/or Ubuntu
system.  The current version supports - reference blas
(refblas) which are unaccelerated as a baseline - Atlas which
are tuned but typically configure single-threaded - Atlas39
which are tuned and configured for multi-threaded mode - Goto
Blas which are accelerated and multithreaded - Intel MKL which
are a commercial accelerated and multithreaded version. As for
GPU computing, we use the CRAN package - gputools
.
For Goto Blas, the gotoblas2-helper script from the ISM in Tokyo can be
used. For Intel MKL we use the Revolution R packages from
Ubuntu 9.10.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.11.1), RSQLite, plyr, reshape, lattice
Suggests: gputools, Matrix
SystemRequirements: Debian or Ubuntu system with access to Goto Blas,
Intel MKL, Atlas development build as well as a Nvidia GPU with
CUDA support
OS_type: unix
Packaged: 2010-10-02 21:12:09 UTC; edd
Repository: CRAN
Date/Publication: 2010-10-03 08:19:54

Description: GPU/CPU Benchmarking on Debian-package based systems
This package benchmarks performance of a few standard linear algebra
operations (such as a matrix product and QR, SVD and LU decompositions)
across a number of different BLAS libraries as well as a GPU implementation.
To do so, it takes advantage of the ability to 'plug and play' different
BLAS implementations easily on a Debian and/or Ubuntu system.  The current
- reference blas (refblas) which are unaccelerated as a baseline
- Atlas which are tuned but typically configure single-threaded
- Atlas39 which are tuned and configured for multi-threaded mode
- Goto Blas which are accelerated and multithreaded
- Intel MKL which are a commercial accelerated and multithreaded version.
As for GPU computing, we use the CRAN package
used. For Intel MKL we use the Revolution R packages from Ubuntu 9.10.