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 unaccelerated 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 multithreaded - Intel MKL which are 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.
|Depends:||R (≥ 2.11.1), RSQLite, plyr, reshape, lattice|
|Maintainer:||Dirk Eddelbuettel <edd at debian.org>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|SystemRequirements:||Debian or Ubuntu system with access to Goto Blas, Intel MKL, Atlas development build as well as a Nvidia GPU with CUDA support|
|CRAN checks:||gcbd results|
BLAS and GPU Benchmarking for Use with R
|Windows binaries:||r-devel: not available, r-release: not available, r-oldrel: not available|
|OS X Mavericks binaries:||r-release: gcbd_0.2.5.tgz, r-oldrel: gcbd_0.2.5.tgz|
|Old sources:||gcbd archive|
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