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gcbd  

'GPU'/CPU Benchmarking in Debian-Based Systems
View on CRAN: Click here


Download and install gcbd package within the R console
Install from CRAN:
install.packages("gcbd")

Install from Github:
library("remotes")
install_github("cran/gcbd")

Install by package version:
library("remotes")
install_version("gcbd", "0.2.6")



Attach the package and use:
library("gcbd")
Maintained by
Dirk Eddelbuettel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-09-15
Latest Update: 2016-09-28
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 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.
How to cite:
Dirk Eddelbuettel (2010). gcbd: 'GPU'/CPU Benchmarking in Debian-Based Systems. R package version 0.2.6, https://cran.r-project.org/web/packages/gcbd
Previous versions and publish date:
0.2.2 (2010-09-15 13:58), 0.2.3 (2010-09-15 22:20), 0.2.4 (2010-10-03 08:19), 0.2.5 (2013-12-12 07:29)
Other packages that cited gcbd R package
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Other R packages that gcbd depends, imports, suggests or enhances
Functions, R codes and Examples using the gcbd R package
Some associated functions: analysis . benchmark . figures . utilities . 
Some associated R codes: analysis.R . benchmark.R . figures.R . utilities.R . zzz.R .  Full gcbd package functions and examples
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