Abstract
The GPU-accelerated DataFrame library cuDF has become increasingly popular for data analytics applications due to its superior performance against CPU-based DataFrame libraries such as Pandas. One of the frequently-used operations in dataframe manipulation is user-defined aggregate functions (UDAFs). UDAFs allow users to define custom aggregate routines outside of the pre-defined aggregate operations (Sum(), Max(), Avg(), etc.)
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