I think it uses SMP, since they offer machines with up to 16 cores
On Thu, Jan 30, 2014 at 10:41 PM, Sturla Molden <sturla.mol...@gmail.com>wrote:
> On 31/01/14 05:16, Thomas Johnson wrote:> It's definitely the bottleneck
> for my particular use case. I spawn ~180
> > processes for a grid search on my Google Compute Engine cluster, but
> > still end up waiting >90 minutes just for a few individual long-running
> > processes with high C values.
>
> The bottleneck in SVM classification tends to be the quadratic
> programming (i.e. training the SVM). multiprocessing will not help with
> this, but using OpenMP in libSVM might.
>
> However, Google compute engine cluster will probably not use shared
> memory, which is essential for any use of OpenMP. Even if libSVM were
> compiled to use OpenMP, it would not give an additional benefit on a
> compute cluster (but it would on an SMP computer).
>
>
> Sturla
>
>
>
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