R Development Page
Contributed R Packages
Below is a list of all packages provided by project gcb - GPU/CPU Benchmarks.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
Packages
| ardblas | Netlib-esque On-GPU Linear Algebra | |||||||||
| This package provides R interfaces to Nvidias CUBLAS library. The functions interfaces represent a compromise between the netlib standard and Rs ease of use. | ||||||||||
| Version: 0.5 | Last change: 2010-06-04 04:48:26+02 | Rev.: 5 | ||||||||||
Download:
 (.tar.gz) |
 (.zip) |
Build status: Failed to build | ||||||||||
R install command:
install.packages("ardblas", repos="http://R-Forge.R-project.org") | ||||||||||
|
| gcbd | 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 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. | ||||||||||
| Version: 0.2.4 | Last change: 2010-10-02 23:11:37+02 | Rev.: 105 | ||||||||||
|
Download:
(.tar.gz) |
(.zip) |
Build status: Current | Stable Release: Get gcbd 0.2.7 from CRAN | ||||||||||
R install command:
install.packages("gcbd", repos="http://R-Forge.R-project.org") | ||||||||||
|
Build status codes
0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
1 - Scheduled for build: the package has been recognized by the build system and provided in the staging area.
2 - Building: the package has been sent to the build machines. It will be built and checked using the latest patched version of R. Note that it is included in a batch of several packages. Thus, this process will take some time to finish.
3 - Failed to build: the package failed to build or did not pass the checks on the Linux and/or Windows platform. It is not made available since it does not meet the policies.
4 - Conflicts: two or more packages of the same name exist. None of them will be built. Maintainers are asked to negotiate further actions.
5 - Offline: the package is not available. The build system may be offline or the package maintainer did not trigger a rebuild (done e.g., via committing to the package repository).
If your package is not shown on this page or not building, then check the build system status report.
