Stefan Miklosovic created CASSANALYTICS-114:
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Summary: Investigate GPU accelerated processing, e.g. via Nvidia
RAPIDS for Cassandra Analytics
Key: CASSANALYTICS-114
URL: https://issues.apache.org/jira/browse/CASSANALYTICS-114
Project: Apache Cassandra Analytics
Issue Type: New Feature
Components: Writer
Reporter: Stefan Miklosovic
Assignee: Stefan Miklosovic
Users who happen to have GPUs to spare can leverage its computing power via
Nvidia's project called RAPIDS which is a plugin to Apache Spark which maps
data to VRAM and its processing is accelerated via CUDA.
It would be nice to explore this in context of Cassandra Analytics so we can
speed up the processing significantly.
My preliminary investigation led to the realisation that we would likely need
to process rows in a columnar fashion - the current processing would stay, it
just about the way we present the data to Spark API / internals.
(1)
https://www.nvidia.com/en-us/ai-data-science/spark-ebook/getting-started-spark-3/#p7-s1?ncid=no-ncid
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