The third edition of the Data Systems meet Data Science (DSDS) workshop is organized by the CREATE SustainSys: Sutainable Data Systems for Data Science .
The workshop series brings together the research community that works at the intersection of data/software systems, software engineering, and Data Science/AI/ML, either by building the next generation Data Science platforms or by using AI/ML techniques to improve systems.
Being now embedded in the CREATE program, this workshop edition will partially focus on sustainability and energy-efficiency of the systems and platform that support or employ ML.
Technical presentations will be augmented with a poster a session from students, a brainstorming meeting about sustainable data science, as well as time and space for discussions.
The workshop is co-organized by Bettina Kemme, Essam Mansour, Hans-Arno Jacobsen, Natalie Enright-Jerger, Oana Balmau, Semih Salihoğlu
Where: York University Second Student Centre, Toronto
When: Monday, November-11, 2024
Registration: via the CS-CAN Conference registration
Dvira Segal, University of Toronto
Energy use of quantum computing
Natalie Enright-Jerger, University of Toronto
Semih Salihoğlu, Waterloo University
Essam Mansour, Concordia University
Sujaya Maiyya, University of Waterloo
Nandita Vijaykumar, University of Toronto
Sihang Liu, University of Waterloo
Stella Bitchebe, McGill University
Jixuan Chen, McGill University
Aijun An, York University
Michaelis Bachras, University of Toronto
Alexander Bianchi, York University
Moderator: Bettina Kemme, McGill University
8:00 - 8:45 Breakfast
8:45 - 9:00 Welcome
Talk session 1
9:00 - 9:15 Sihang Liu Towards Sustainable AI Systems
9:15 - 9:30 Stella Bitchebe GuaNary: Efficient Buffer Overflow Detection In Virtualized
Clouds Using Intel EPT-based Sub-Page Write Protection Support
9:30 - 9:45 Jiaxuan Chen vPIM: Processing-in-Memory Virtualization
9:45 - 10:00 Natalie Enright-Jerger Sustainable Computer Architecture
10:00 - 10:30 Coffee break
Keynote
10:30 - 11:20 Dvira Segal Assessing the energy cost of quantum technologies
11:20 - 11:30 Short Break
Talks session 2
11:30 - 11:45 Nandita Vijaykumar Fast and Efficient Architectures for Robotics and 3D Vision
11:45 - 12:00 Aijun An Optimizing GPU Job Scheduling Using Deep Reinforcement Learning
12:00 - 12:15 Alexander Bianchi Db2une: Tuning Under Pressure via Deep Learning
12:15 - 13:45 Lunch
Talks session 3
13:45 - 14:00 Semih Salihoglu An Overview of the Kùzu Graph DBMS
14:00 - 14:15 Sujaya Maiyya Waffle: An Oblivious Datastore for Protecting Data Access
Patterns
14:15 - 14:30 Michalis Bachras Beyond Performance: Measuring the Environmental Impact of
Analytical Database Processing
14:30 - 14:45 Essam Mansour Energy-Efficient Training of GNNs on Large Knowledge Graphs
for Accurate and Scalable Modeling
14:45 - 16:00 Networking break / Poster session
16:00 - 17:00 Working Session
17:00 Closing remarks
18:30 BANQUET