Hi, Andrey
This is a very good question and a bit tricky one.
To start with, one can argue that you already can use GPU in Ignite ML. This
is because we support BLAS via netlib (IGNITE-5278) and netlib, in turn, can
be configured to use NVBLAS, as explained in this library documentation:
https://
Yes, as one of possible options.
ср, 21 марта 2018, 20:53 Igor Rudyak :
> You mean utilizing JCuda for CPU bound ML tasks?
>
> Igor
>
> On Wed, Mar 21, 2018 at 10:45 AM, Andrey Kuznetsov
> wrote:
>
> > Hi, Igniters!
> >
> > Machine Learning algorithms consume much computational resources. So I'm
You mean utilizing JCuda for CPU bound ML tasks?
Igor
On Wed, Mar 21, 2018 at 10:45 AM, Andrey Kuznetsov
wrote:
> Hi, Igniters!
>
> Machine Learning algorithms consume much computational resources. So I'm
> curious whether it's possible to exploit General Purpose GPUs in Ignite?
> Did somebody
Hi, Igniters!
Machine Learning algorithms consume much computational resources. So I'm
curious whether it's possible to exploit General Purpose GPUs in Ignite?
Did somebody think about this?
--
Best regards,
Andrey Kuznetsov.