On 5/18/2015 15:12, Dale Smith wrote:
I'm not a big fan of GPU computing for many of the reasons Dirk
mentions below and something else I discovered while taking a Coursera
class last winter.
CUDA requires significant effort to keep up your skills unless you do
it semi-regularly or more oft
I have played with CUDA for some time and here is my simple comments.
(1) The simplest way to use CUDA with R/Armadillo is to use nvblas. You can
see the demo on 21st page of [1].
(2) The speedup may not as good as expected sometimes (at least in my own
experiments).
Best wishes,
KK
[1]
http:/
I am actually working on a general purpose GPU library for R using Rcpp and
RcppArmadillo but it is still under heavy development. During these very
early stages I have had an 'older' card (AMD Radeon HD 5700 Series) so I
have been working primarily with OpenCL and the clBLAS library (which must
b
I'm not a big fan of GPU computing for many of the reasons Dirk mentions below
and something else I discovered while taking a Coursera class last winter.
CUDA requires significant effort to keep up your skills unless you do it
semi-regularly or more often. It's a very hard learning curve. I ca
