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'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 |
| macOS binaries: | r-release (arm64): gcbd_0.2.6.tgz, r-oldrel (arm64): gcbd_0.2.6.tgz, r-release (x86_64): gcbd_0.2.6.tgz, r-oldrel (x86_64): gcbd_0.2.6.tgz |
| Old sources: | gcbd archive |
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