Originally published at: https://developer.nvidia.com/blog/optimizing-and-improving-spark-3-0-performance-with-gpus/
Apache Spark continued the effort to analyze big data that Apache Hadoop started over 15 years ago and has become the leading framework for large-scale distributed data processing. Today, hundreds of thousands of data engineers and scientists are working with Spark across 16,000+ enterprises and organizations. One reason why Spark has taken the torch from…
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If you have any questions or comments about Spark 3.0 performance with GPUs, let us know.
Hi everyone, @carolm I need support for implement new functionality in rapids udfs with scala, I want to those implementation which are not available in the core implementation. Can you guide?
Hi, Can you please file a feature request for the UDF functionality here: Issues · NVIDIA/spark-rapids · GitHub
Please add the data types and format used in the UDF.
thanks
Karthik