You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Antoine Pitrou (Jira)" <ji...@apache.org> on 2020/09/02 13:36:00 UTC

[jira] [Resolved] (ARROW-9605) [C++] Optimize performance for aggregate min/max compute kernels

     [ https://issues.apache.org/jira/browse/ARROW-9605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou resolved ARROW-9605.
-----------------------------------
    Fix Version/s: 2.0.0
       Resolution: Fixed

Issue resolved by pull request 7871
[https://github.com/apache/arrow/pull/7871]

> [C++] Optimize performance for aggregate min/max compute kernels
> ----------------------------------------------------------------
>
>                 Key: ARROW-9605
>                 URL: https://issues.apache.org/jira/browse/ARROW-9605
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++
>            Reporter: Frank Du
>            Assignee: Frank Du
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 2.0.0
>
>          Time Spent: 4.5h
>  Remaining Estimate: 0h
>
> # Use BitBlockCounter to speedup the performance for typical 0.01% null-able data.
>  # Enable AVX compiler auto vectorize for no-nulls on int types. Float/Double use fmin/fmax to handle NaN which can't be vectorize by compiler.



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