I think multicore is one of answer if you can write your function in to lapply.
On Mon, Jun 18, 2012 at 12:14 PM, R. Michael Weylandt
wrote:
> I would argue (somewhat emphatically) that the parallel facilities you
> are looking at are absolutely not for `for` loops. `for` loops are a
> control st
I would argue (somewhat emphatically) that the parallel facilities you
are looking at are absolutely not for `for` loops. `for` loops are a
control structure native to imperative programming and, as such, are
inherently stateful. This provides many advantages, but easy
parallelization is absolutely
Thanks for all replied.
I read the introduction of R parallel. Is it for loops only?
Gary
On Sun, Jun 17, 2012 at 10:04 AM, R. Michael Weylandt <
michael.weyla...@gmail.com> wrote:
> Take a look at the parallel package which ships with all current versions
> of R.
>
> Michael
>
> On Jun 17, 2
On 17.06.2012 19:04, R. Michael Weylandt wrote:
Take a look at the parallel package which ships with all current versions of R.
which is the right answer for the body of the message. For the subject
line: Take a look at multi-threaded BLAS which can be used with R.
Uwe Ligges
Michael
O
Take a look at the parallel package which ships with all current versions of R.
Michael
On Jun 17, 2012, at 11:39 AM, Gary Dong wrote:
> Dear R users,
>
> I'm wonder if there is a easy way to make R use multi-CPUs on my computer.
> My computer has four CPUs but R uses only one. Thanks.
>
> G
Dear R users,
I'm wonder if there is a easy way to make R use multi-CPUs on my computer.
My computer has four CPUs but R uses only one. Thanks.
Gary
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing list
https://stat.ethz.ch
6 matches
Mail list logo