Re: [hpx-users] Machine learning applied to HPX smart executors

2018-02-19 Thread Patrick Diehl
Hi Gabriel,

I am not sure if it is possible with one regression, but maybe with a
more sophisticated model. But it is up to you what you want to propose
in your proposal. I think one task of this project would be to find out
which model is suitable to do this.

You can either propose a different approach or a combination of
regression models.

Best,

Patrick


On 02/19/2018 12:21 PM, Gabriel Laberge wrote:
> Hi,
> In the article
> [0]https://arxiv.org/abs/1711.01519
> It is written that a binary logistic regression was used to find the  
> execution policy and that a multinomial regression was used to find  
> the chunk size and the prefetching distance. Would there be a  
> possibility to use only one regression to find all 3 parameters  
> instead of using two?
> Thank you
> 
> 
> 
> ___
> hpx-users mailing list
> hpx-users@stellar.cct.lsu.edu
> https://mail.cct.lsu.edu/mailman/listinfo/hpx-users
> 

-- 
Patrick Diehl
diehlpk.github.io



signature.asc
Description: OpenPGP digital signature
___
hpx-users mailing list
hpx-users@stellar.cct.lsu.edu
https://mail.cct.lsu.edu/mailman/listinfo/hpx-users


[hpx-users] Machine learning applied to HPX smart executors

2018-02-19 Thread Gabriel Laberge
Hi,
In the article
[0]https://arxiv.org/abs/1711.01519
It is written that a binary logistic regression was used to find the  
execution policy and that a multinomial regression was used to find  
the chunk size and the prefetching distance. Would there be a  
possibility to use only one regression to find all 3 parameters  
instead of using two?
Thank you



___
hpx-users mailing list
hpx-users@stellar.cct.lsu.edu
https://mail.cct.lsu.edu/mailman/listinfo/hpx-users