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
3:58 PM
To: rcpp-devel@lists.r-forge.r-project.org
Subject: Re: [Rcpp-devel] examples of using cula matrix multiplication in Rcpp
I’ve been playing around with Rcpp and CUDA (CUBLAS and Magma in particular)
for quite a while now and definitely find it useful for improving performance.
My interest is mo
I’ve been playing around with Rcpp and CUDA (CUBLAS and Magma in particular)
for quite a while now and definitely find it useful for improving performance.
My interest is mostly in spatial models and gaussian processes where the rate
limiting step is usually O(n^3) matrix decomposition where n i
Thanks for the quick insightful replies! I will look into the solutions and
keep the list posted on any progress on this end.
Yue
> On May 16, 2015, at 12:10 PM, Dirk Eddelbuettel wrote:
>
>
> On 16 May 2015 at 17:05, Sean O'Riordain wrote:
> | Some students I have been working with managed t
On 16 May 2015 at 17:05, Sean O'Riordain wrote:
| Some students I have been working with managed to get Rcpp to work with Cuda
| for a simple use case - calculating a big log-likelihood for MCMC - and they
| got a bit of a speedup compared with Rcpp - but it needs more work. They
| promised they
Some students I have been working with managed to get Rcpp to work with
Cuda for a simple use case - calculating a big log-likelihood for MCMC -
and they got a bit of a speedup compared with Rcpp - but it needs more
work. They promised they would write up a note for the gallery once their
exams ar
On 16 May 2015 at 11:46, Yue Li wrote:
| I wonder if anyone worked on incorporating CULA tools library functionality
into Rcpp. How much speed gain on top of Rcpp do we expect on basic operation
like matrix multiplication?
|
| In particular, I’m currently usnig RArmadillo to seamlessly perform
