Department of Computational and Data Sciences
Department Seminar
Speaker : Prof. Immanuel Trummer, Cornell University, USA
Title : Novel Approaches to Database Tuning and Optimization
Date & Time : June 08th, 2026 (Monday), 11:00 AM
Venue : # 102, CDS Seminar Hall
ABSTRACT :
The performance of a database system depends on various tuning decisions, ranging from the choice of auxiliary data structures to the settings of system parameters. Such choices have a dramatic impact on data processing performance, motivating methods seeking optimal or near-optimal solutions in large search spaces. In this talk, I will discuss recent and ongoing research in the Cornell Database Group, aimed at leveraging two technologies that have recently become available for database tuning problems. In the first part of my talk, I will discuss how large language models can help to tune database systems at a fraction of the cost of traditional methods, serving as powerful heuristics for pruning tuning options. In the second part of my talk, I will discuss methods to use fast hardware accelerators for optimization, in particular digital and quantum annealers, to explore large search spaces efficiently.
BIO:
Immanuel Trummer is an associate professor of computer science at Cornell University. His research focuses on making data analysis more efficient and more user-friendly. His papers were selected for “Best of VLDB”, “Best of SIGMOD”, and the CACM Research Highlight Award. He received an NSF CAREER grant for his work on database tuning via LLMs and multiple Google Faculty Research Awards.
Host Faculty: Prof. Jayant R Haritsa
ALL ARE WELCOME
