Archived Events

Archived Events

Sep 14

2023

Sep 14 2023
[Fall 2023] Snowflake Tech Talk (Bowei Chen)
Speaker:
Bowei Chen
System:
Snowflake

Snowflake internals tech talk. Read More

Sep 11

2023

Sep 11 2023
[ML⇄DB 2023] Qdrant: Vector Search Engine Internals (Andrey Vasnetsov)
Speaker:
Andrey Vasnetsov
System:
Qdrant
Video:
YouTube

This talk is part of the ML⇄DB Seminar Series. Zoom Link: https://cmu.zoom.us/j/91461275681 (Passcode 177332) Read More

Aug 31

2023

Aug 31 2023
[Fall 2023] New Semester Research Meeting

Carnegie Mellon University's renowned Database Group is thrilled to announce the kickoff of its Fall 2023 semester with a highly anticipated meeting on Thursday, August 31st. This gathering promises to be an extraordinary occasion as the members embark on a vainglorious retrospective, celebrating the group's remarkable research achievements over the years, as well as to begin discussions on new projects.... Read More

Aug 23

2023

Aug 23 2023
On Embedding Database Management System Logic in Operating Systems via Restricted Programming Environments (Matt Butrovich)
Speaker:
Matt Butrovich

The rise in computer storage and network performance means that disk I/O and network communication are often no longer bottlenecks in database management systems (DBMSs). Instead, the overheads associated with operating system (OS) services (e.g., system calls, thread scheduling, and data movement from kernel- space) limit query processing responsiveness. To avoid these overheads, user-space applications prioritizing performance over simplicity can... Read More

Jul 13

2023

Jul 13 2023
[Summer 2023] Towards a Hardware-software Approach for High-performance Databases (Jignesh Patel)
Speaker:
Jignesh Patel

In various industries, in-database analytics are crucial for decision-making. Yet, the growing amount of data presents challenges as traditional methods become excessively time-consuming and costly. Moore's Law and Dennard scaling, which previously aided data-intensive analytics, are reaching their physical limits. A new approach is needed to handle analytics workloads. The speed gap between processing units and memory creates bottlenecks for... Read More

May 5

2023

May 5 2023
[Spring 2023] 15-721 Final Project Presentations

Carnegie Mellon University is thrilled to announce the upcoming final project presentations for the Advanced Database Systems course for the Spring 2023 semester. This eagerly awaited event showcases the hard work and innovation of the university's talented students as they present their cutting-edge projects to an audience of esteemed guests and fellow students. The presentations promise to deliver captivating insights... Read More

Mar 30

2023

Mar 30 2023
Return of the Database Machines? Towards a Hardware-Software Approach for High-performance Databases (Jignesh Patel)
Speaker:
Jignesh Patel

Analytic database applications have an insatiable appetite for higher performance. In the past, a large part of this appetite was met by leveraging the gift of Moore’s Law. However, the slowing down of Moore’s Law now requires a new approach. Fortunately, the hardware landscape is currently undergoing a Cambrian explosion of new architectures. In this talk, I will describe how... Read More

Dec 13

2022

Dec 13 2022
MS Thesis Defense: High Performance DBMS Design for Intelligent Query Scheduling (Deepayan Patra)
Speaker:
Deepayan Patra

Decades of research in the field of database management systems (DBMSs) have focused on improving system performance with impressive results. Modern analytical databases take advantage of innovative methods such as vectorization and compilation to improve single query performance, use supporting data structures such as indexes or views to reduce data access requirements, and support the execution of multiple queries in... Read More

Dec 13

2022

Dec 13 2022
MS Thesis Defense: Extendable Rule-Based Action Generation for Self-Driving Database Systems (Mike Xu)
Speaker:
Mike Xu

Database management systems (DBMSs) have become more complex to meet increasingly demanding usage. To owners and operators, the need for a self-driving DBMS that can automatically tune and optimize itself without human intervention is apparent now more than ever. Such a self-driving DBMS considers a set of candidate actions to apply to reach a configuration that improves performance for a... Read More

Dec 8

2022

Dec 8 2022
[15-445/645] Fall 2022 Live Call-in Q&A Lecture
Speaker:
Andy Pavlo

For the final lecture in CMU's Introduction to Database Systems (Fall 2022) course, we are allowing anyone to call in with their database questions. The lecture will be livestreamed via Youtube and you will be able to ask your questions to Prof. Andy Pavlo directly. Livestream: https://youtu.be/MxOKUt6LeeU Audience Call-in: https://cmu.zoom.us/j/99783788428?pwd=R2ZSd2x0SUFnRlNIak5TVk5ubmFjQT09 (Must have Zoom account) Read More