Joseph Scott, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jo Atlee, Vijay Ganesh
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.
Yang Zhou, PhD candidate
Computer Science, Harvard University
Tilmann Rabl, Chair for Data Engineering Systems
Hasso Plattner Institute
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.
Reto Achermann, Postdoctoral Research Fellow, Systopia Lab
Department of Computer Science, University of British Columbia
John Kallaugher, Researcher
Sandia National Laboratories
Yibin Yang, PhD candidate
School of Computer Science, Georgia Institute of Technology
Anwar Hithnawi, Research Fellow and Principal Investigator
Department of Computer Science, ETH Zurich
Han Shao, PhD candidate
Toyota Technological Institute at Chicago