This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $599,639 in funding to Carnegie Mellon University (CMU) from October 1, 2024 to September 30, 2027. The grant supports research to develop techniques that automatically optimize the performance of user-defined functions (UDFs) within database management systems, without requiring modifications to application code. Key focus areas include improving UDF optimization, optimizing external language UDFs, and generating new optimizations that leverage information about UDFs across the entire query lifecycle. This research aims to enable organizations to improve the efficiency of their applications and support more complex workloads, including leveraging machine learning and data science libraries. The award reflects NSF's mission to advance scientific discovery and technological innovation.
Generated 1/28/25, 8:19 AM