CRAN/E | gcbd

gcbd

'GPU'/CPU Benchmarking in Debian-Based Systems

Installation

About

'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.

System requirements Debian or Ubuntu system with access to Goto Blas, Intel MKL, Atlas development build as well as a Nvidia GPU with CUDA support

Key Metrics

Version 0.2.6
R ≥ 2.11.1
Published 2016-09-28 2739 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks gcbd results
OS unix

Downloads

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Maintainer

Maintainer

Dirk Eddelbuettel

edd@debian.org

Authors

Dirk Eddelbuettel

Material

README
ChangeLog
Reference manual
Package source

In Views

HighPerformanceComputing

Vignettes

BLAS and GPU Benchmarking for Use with R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Old Sources

gcbd archive

Depends

R ≥ 2.11.1

Imports

Matrix
DBI
RSQLite
plyr
reshape
lattice

Suggests

gputools