Package: gcbd
Type: Package
Title: 'GPU'/CPU Benchmarking in Debian-Based Systems
Version: 0.2.7
Date: 2024-10-23
Authors@R: person("Dirk", "Eddelbuettel", role = c("aut", "cre"), email = "edd@debian.org",
                  comment = c(ORCID = "0000-0001-6419-907X"))
Description: '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.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.11.1)
Imports: Matrix, DBI, RSQLite, plyr, reshape, lattice
Suggests: gputools
URL: https://github.com/eddelbuettel/gcbd
BugReports: https://github.com/eddelbuettel/gcbd/issues
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: 2024-10-29 11:51:37 UTC; edd
Author: Dirk Eddelbuettel [aut, cre] (<https://orcid.org/0000-0001-6419-907X>)
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2024-10-29 23:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 17:00:53 UTC; unix
