You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Benson Muite (Jira)" <ji...@apache.org> on 2022/10/23 17:43:00 UTC

[jira] [Comment Edited] (ARROW-16464) [C++][CI][GPU] Add CUDA CI

    [ https://issues.apache.org/jira/browse/ARROW-16464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17619986#comment-17619986 ] 

Benson Muite edited comment on ARROW-16464 at 10/23/22 5:42 PM:
----------------------------------------------------------------

Probably easiest is to use GPUs that are hosted in the cloud. [CircleCI|https://circleci.com/pricing/] does have an offering  as does [CIrun|https://cirun.io/].  Probably an estimate of the number of GPU minutes needed per month would be helpful.


was (Author: baksmj):
Probably easiest is to use GPUs that are hosted in the cloud. [CircleCI|https://circleci.com/pricing/] does have an offering  as does [CIrun[CIrun|https://cirun.io/].  PRobably an estimate of the number of GPU minutes needed per month would be helpful.

> [C++][CI][GPU] Add CUDA CI
> --------------------------
>
>                 Key: ARROW-16464
>                 URL: https://issues.apache.org/jira/browse/ARROW-16464
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++, Continuous Integration, GPU
>            Reporter: Antoine Pitrou
>            Assignee: Jacob Wujciak-Jens
>            Priority: Critical
>             Fix For: 11.0.0
>
>
> Arrow C++, PyArrow and perhaps other bindings have CUDA support, but none is currently tested on CI, and I think few of the contributors enable CUDA on their local builds.
> We should definitely exercise CUDA support, at least in the nightly builds where we may have more flexibility to use custom machines.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)