he pragma.
>
>
>
> With your journey into OpenMP, these might help:
>
> Slides regarding OpenMP and RcppArmadillo:
>
> http://www.thecoatlessprofessor.com/wp-content/uploads/2014/09/hpc_parallel.pdf
>
> Demo code for using OpenMP with Armadillo & Eigen using the taper
Hi there,
I am using gradient descent to reduce a large matrix of users and items.
For this I am trying to use all 40 available cores but unfortunately my
performance is no better than when I was using just one. I am new to openMP
and RcppArmadillo so pardon my ignorance.
The main loop is -
#prag
Apologies, I will break it down and tackle one thing at a time...
On Wed, Jan 22, 2014 at 8:13 PM, Dirk Eddelbuettel wrote:
>
> Saurabh,
>
> On 22 January 2014 at 18:04, Saurabh B wrote:
> | I am running into many issues. Here they are ranked in order of
> importance) -
>
Hi there,
I am new to RcppArmadillo and very excited about the sparse matrix
functionality it offers. I have a large optim that I wish to break down
into stochastic descent in Rcpp to speed things up.
To start small, I used a simple logisitic regression function that I have
working in R -
Norm <
