dmlc / dmlc/xgboost

[CI] [jvm-packages] Supporting ARM in GPU JVM packages and XGBoost pyspark

Open
#11,305 5 comments 0 reactions 0 assignees View on GitHub
feature-request
Dominant language
C++
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Avg merge
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Merged PRs (30d)
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Description

Hi,

I would like to know if xgboost intends to support arm-architecture for xgboost pyspark and xgboost jvm packages? Nowadays, the arm-based instances in cloud are becoming more and more popular. So it would be great if xgboost can release the arm-based packages.

Contributor guide

No contributing guide indexed for this repository

Research direction

No files, tests, or entry points are named. Start by mapping the CI and packaging paths for the jvm-packages and XGBoost pyspark distributions, then check how ARM builds are handled. Done means an agreed approach exists for producing and validating ARM-based packages, with the relevant CI coverage and release process defined.

Written by the indexing model from the issue text.

Assessment

Tech stack
java, python, spark
Domain
build-system, ci-cd, machine-learning, release
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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