by Dirk Eddelbuettel

Monthly downloads



Type Package
Date 2016-09-27
License GPL (>= 2)
LazyLoad yes
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
NeedsCompilation no
Packaged 2016-09-27 22:05:01.990957 UTC; deddelbuettel
Repository CRAN
Date/Publication 2016-09-28 07:24:48

'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.
Full Readme

Functions in gcbd

Name Description
analysis Analysis functions for GPU/CPU Benchmarking
figures Figures from the corresponding vignette
benchmark Benchmarking functions for GPU/CPU Benchmarking
utilities Utility functions for GPU/CPU Benchmarking
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