Package: gcbd
Type: Package
Title: 'GPU'/CPU Benchmarking in Debian-Based Systems
Version: 0.2.6
Date: 2016-09-27
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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
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: 2016-09-27 22:05:01.990957 UTC; deddelbuettel
Repository: CRAN
Date/Publication: 2016-09-28 07:24:48

Title: A generalized coordinate descent (GCD) algorithm for computing
the solution path of the hybrid Huberized support vector
Description: This package implements a generalized coordinate descent
(GCD) algorithm for computing the solution path of the hybrid
Huberized support vector machine (HHSVM) and its
generalization, including the elastic net penalized SVM with
the squared hinge loss and the elastic net penalized logistic

Description: This package implements a generalized coordinate descent (GCD) algorithm for computing the solution path of the hybrid Huberized support vector machine (HHSVM) and its generalization, including the elastic net penalized least squares, the elastic net penalized SVM with the squared hinge loss and the elastic net penalized logistic regression.