Extend core UDF framework for GPU-enabled analytical query evaluation
Qiming Chen, Ren Wu, Meichun Hsu, Bin Zhang · 2011
To achieve scalable data intensive analytics, we investigate methods to integrate general purpose analytic computation into a query pipeline using User Defined Functions (UDFs). However, an existing UDF cannot act as a block operator with chunk-wise input along the tuple-wise query processing pipeline, therefore unable to deal with the application semantics definable on the set of incoming tuples representing a single object or falling in a time window, and unable to leverage external computation engines for efficient batch processing.