You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Brian Hulette (Jira)" <ji...@apache.org> on 2021/04/08 18:51:00 UTC

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

     [ https://issues.apache.org/jira/browse/BEAM-12130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Brian Hulette updated BEAM-12130:
---------------------------------
    Labels: dataframe-api  (was: )

> 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
>
> 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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)