NSF Award CCF-2029014; $185,473 (Collaborative total: $250K); January 2021 through December 2021. This project is a collaborative effort with Rujia Wang and Xian-He Sun at IIT and Peng Jiang at the University of Iowa.
NSF Award CCF-2028958; $41,627 (Collaborative total: $1.2M); October 2020 through September 2021. This project is a collaborative effort with Peter Dinda, Simone Campanoni, and Nikos Hardavellas at Northwestern University, and Umut acar at Carnegie Mellon University.
Practitioners of high-performance parallel computing have long sought better programming models and languages to ease the task of writing programs for large-scale systems. However, there is an undeniable tension that exists between extreme performance and developer friendliness.
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?