Data-Intensive Applications & Systems Lab
Despite recent technological advances both in the data management and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated algorithms to store, manage, and interpret data. Research in DIAS lab focuses on addressing these challenges by adapting data management technology to computer architecture trends, enabling discoveries in scientific domains through automating physical database design and revolutionizing exploration algorithms in very large data repositories.
