Seminar

Please note: This seminar will take place in DC 1304.

Han Shao, PhD candidate
Toyota Technological Institute at Chicago

Please note: This seminar will take place online.

Anwar Hithnawi, Research Fellow and Principal Investigator
Department of Computer Science, ETH Zurich

Please note: This seminar will take place in DC 1304.

John Kallaugher, Researcher
Sandia National Laboratories

Please note: This PhD seminar will take place in DC 2310.

Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jesse Hoey, Alexander Wong

Please note: This seminar will take place in DC 1304.

Reto Achermann, Postdoctoral Research Fellow, Systopia Lab 
Department of Computer Science, University of British Columbia

Please note: This seminar will take place in DC 1304.

Yang Zhou, PhD candidate
Computer Science, Harvard University

Please note: This lecture will take place in DC 1302 and online.

Sanjeev Khanna
Henry Salvatori Professor of Computer and Information Science
University of Pennsylvania

Please note: This seminar will take place online.

Xiangyao Yu, Assistant Professor
Computer Sciences Department, University of Wisconsin-Madison

The performance gap between GPUs and CPUs has been widening over years as the hardware improves. Existing GPU databases demonstrate good performance, but suffer from limited GPU memory capacity and PCIe bandwidth, thereby failing to scale to large datasets. We conduct a series of projects to address these challenges, paving the way for wider GPU database adoption.

Please note: This seminar will take place online.

Tilmann Rabl, Chair for Data Engineering Systems
Hasso Plattner Institute

Please note: This seminar will take place in DC 1304.

Jun Gao, PhD candidate
Department of Computer Science, University of Toronto

3D content is key in several domains, such as VR/AR, architecture, film, gaming, and robotics, and lies in the heart of the metaverse applications. While generative AI has achieved significant success in language, image, and video, its application in 3D content encounters fundamental challenges in the scarcity of 3D training data and increased complexities inherent in 3D.