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REU Site: Collaborative Research: BigDataX: From theory to practice in Big Data computing at eXtreme scales

NSF Award CCF-2150500; $362,878; July 2022 through June 2025. This project is in collaboration with Ioan Raicu at IIT as well as Kyle Chard at the University of Chicago. This project is the third iteration of the BigDataX program, a Research Experiences for Undergraduates (REU) site program at Illinois Institute of Technology (IIT) and the University of Chicago (UChicago).

Playing Fetch with CAT - Composing Cache Partitioning and Prefetching for Task-based Query Processing

Hybrid Runtimes for Compiled Dataflows

We observe that the OS and database communities face a similar challenge: how do we optimize systems to exploit the characteristics of specialized hardware without sacrificing the flexibility of general-purpose designs?

REU Site: Collaborative Research: BigDataX: From theory to practice in Big Data computing at eXtreme scales

NSF Award CCF-1757964; $333,106; February 2018 through January 2021. This project is in collaboration with Ioan Raicu at IIT as well as Kyle Chard and Aaron Elmore at the University of Chicago.