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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:	0.2.7
Depends:	R (≥ 2.11.1)
Imports:	Matrix,DBI,RSQLite,plyr,reshape,lattice
Suggests:	gputools
OS_type:	unix
Published:	2024-10-29
DOI:	10.32614/CRAN.package.gcbd
Author:	Dirk Eddelbuettel [aut, cre]
Maintainer:	Dirk Eddelbuettel <edd at debian.org>
BugReports:	https://github.com/eddelbuettel/gcbd/issues
License:	GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/eddelbuettel/gcbd
NeedsCompilation:	no
SystemRequirements:	Debian or Ubuntu system with access to Goto Blas,Intel MKL, Atlas development build as well as a Nvidia GPU withCUDA support
Materials:	README,ChangeLog
In views:	HighPerformanceComputing
CRAN checks:	gcbd results

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