gcbd: 'GPU'/CPU Benchmarking in Debian-Based Systems

'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 un-accelerated 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 multi-threaded - 'Intel MKL' which is 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.

Version: 0.2.6
Depends: R (≥ 2.11.1)
Imports: Matrix, DBI, RSQLite, plyr, reshape, lattice
Suggests: gputools
OS_type: unix
Published: 2016-09-28
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd at debian.org>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: Debian or Ubuntu system with access to Goto Blas, Intel MKL, Atlas development build as well as a Nvidia GPU with CUDA support
Materials: README ChangeLog
In views: HighPerformanceComputing
CRAN checks: gcbd results


Reference manual: gcbd.pdf
Vignettes: BLAS and GPU Benchmarking for Use with R
Package source: gcbd_0.2.6.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: gcbd_0.2.6.tgz, r-oldrel: gcbd_0.2.6.tgz
Old sources: gcbd archive


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