Greetings and Salutations,
The answer is yes, multiple processes can concurrently modify different parts
of the object. So, the object is not “locked.”
In this case, it’s important to note the scope of the object being “shared” and
not “private.”
Also, the object is not being used in any compu
ing idea
> in spatial statistics:
>
> https://github.com/coatless/pims_bigdata
>
>
>
> Sincerely,
>
>
> JJB
>
>
>
> *From:* [email protected] [mailto:
> [email protected]] *On Behalf Of *Saurabh B
half Of Saurabh B
Sent: Tuesday, May 26, 2015 4:53 PM
To: [email protected]
Subject: [Rcpp-devel] OpenMP and Parallel BLAS
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 unfortuna
On 26 May 2015 at 17:53, Saurabh B wrote:
| 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
| RcppArm
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
