[R] GPU package crowd-source testing

Charles Determan cdetermanjr at gmail.com
Tue Feb 9 19:20:19 CET 2016


Greetings R users,

I would like to request any users who would be willing to test one of my
packages.  Normally I would be content using testthat and continuous
integration services but this particular package is used for GPU computing
(hence the cross-posting).  It is intended to be as general as possible for
available devices but I only have access to so much hardware.  I can't
possibly test it against every GPU available.

As such, I would sincerely appreciate any user that has at least one GPU
device (Intel, AMD, or NVIDIA) and is willing to experiment with the
package to try it out.  Note, this will require installing an OpenCL SDK of
some form.  Installation instructions for the package are found here (
https://github.com/cdeterman/gpuR/wiki).

At the very least, if you have a valid device, you would only need to
download the 'development' version of the package and experiment with the
functions such as a matrix multiplication.

devtools::install_github("cdeterman/gpuR", ref = "develop")

library(gpuR)
A <- gpuMatrix(rnorm(10000), 100, 100)
A %*% A

You could also clone my github repo and run all the unit tests I have
included

git clone -b develop https://github.com/cdeterman/gpuR.git

If using RStudio, just open the package in a new project and press
'Ctrl-Shift-T' or more directly run  `devtools::test()`

If using command-line R, switch to the gpuR directory, start R and run
`devtools::test()`.

If you find any errors or bugs, please report them in my github issues (
https://github.com/cdeterman/gpuR/issues).  Naturally any recommendations
on additional features are welcome.

Thank you in advance for any support you can provide.  I want to continue
improving this package but I am beginning to reach the end of what I can
accomplish from a hardware perspective.

Best Regards,
Charles

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