GPU/CPU Benchmarking in Debian-based systems CRAN Task View: HighPerformanceComputing (http://CRAN.R-project.org/view=HighPerformanceComputing) 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. Software Depends: R (>= 2.11.1), RSQLite, plyr, reshape, lattice Suggests: gputools, Matrix Dirk Eddelbuettel <edd@debian.org> Dirk Eddelbuettel GPL (>= 2) 2010-10-03 application/tgz http://CRAN.R-project.org/package=gcbd