Re: Weka and multiple cores on OS/X

Ulrich Mayring <[email protected]> Fri, 15 Dec 2023 16:55:08 +0100
Newsgroups gmane.comp.ai.weka
Message-ID <[email protected]>
Have you tried installing the Cuda Toolkit? You will then get a menu 
entry in Weka that tells you if your GPU is found.

https://deeplearning.cms.waikato.ac.nz/install/

Am 15.12.23 um 13:58 schrieb Michael Hall:
> I just got a new MacBook Pro with M3 chips. Apparently for both a number 
> of CPU and GPU cores.
> 
> I wondered what support Weka might have for this. Searching I found some 
> older references to using multiple cores for cross validation. I saw 
> mention without details of Knowledge Flow doing parallel batch processing.
> 
> The most detailed and current mention I found was…
> 
> https://developer.nvidia.com/blog/speed-up-machine-learning-models-with-accelerated-weka/ <https://developer.nvidia.com/blog/speed-up-machine-learning-models-with-accelerated-weka/>
> 
> However, with -c Nvidia my GPU’s don’t seem to be that…
> 
> Apple M3 Pro:
> 
>    Chipset Model:Apple M3 Pro
>    Type:GPU
> 
> And after updating Anaconda other things mentioned on the install still 
> do not seem to be found.
> 
> I would expect something like deeplearning4j to support this but so far 
> searching didn’t turn up anything related to weka.
> 
> Is there anything I should look at for using Weka with new multiple core 
> hardware?
> 
> Thanks.
> 
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