[jira] [Commented] (BEAM-12130) DataFrame API: Allow using CuDF for GPU execution on worker nodes

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-12130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17359484#comment-17359484 ] 

Beam JIRA Bot commented on BEAM-12130:
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This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> DataFrame API: Allow using CuDF for GPU execution on worker nodes
> -----------------------------------------------------------------
>
>                 Key: BEAM-12130
>                 URL: https://issues.apache.org/jira/browse/BEAM-12130
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api, stale-P2
>
> From https://github.com/rapidsai/cudf:
> {quote}cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.{quote}
> We should investigate if it's possible to use CuDF at execution time to accelerate certain pandas operations.



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