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
Dear List,
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 matrix
multiplication. But the s
10 matches
Mail list logo
