corvus-dotnet / corvus-dotnet/Corvus.Python

Investigate perf improvements using NVidia plugin

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#30 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
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Description

To utilise the NVidia GPU, use:

```
"runArgs": [
"--gpus",
"all"
],
```

in the devcontainer,

and then:

```
builder = (
SparkSession.builder.appName(workload_name)
.master("local[*]")
...
.config("spark.plugins", "com.nvidia.spark.SQLPlugin")
)

extra_packages = ["com.nvidia:rapids-4-spark_2.12:24.06.0"]

spark = configure_spark_with_delta_pip(builder, extra_packages=extra_packages).getOrCreate()
```

Contributor guide

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Research direction

Start by locating the devcontainer configuration and the SparkSession setup used by the workload. Test the NVIDIA GPU settings and RAPIDS package configuration shown in the issue, then compare performance with and without them; done should include a documented conclusion about whether the change improves performance.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, spark
Domain
data-engineering, performance
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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