You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Frank Du (Jira)" <ji...@apache.org> on 2020/08/12 06:55:00 UTC
[jira] [Assigned] (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 ]
Frank Du reassigned ARROW-9605:
-------------------------------
Assignee: Frank Du
> [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
> Time Spent: 50m
> 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)