Events - 2024

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 in DC 1304.

Yang Zhou, PhD candidate
Computer Science, Harvard University

Please note: This PhD seminar will take place online.

Joseph Scott, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jo Atlee, Vijay Ganesh

Please note: This PhD defence will take place online.

Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Semih Salihoğlu

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

Luke Schaeffer, QuICS Hartree Postdoctoral Fellow
Joint Center for Quantum Information and Computer Science, University of Maryland

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

Yuanhao Wei, Postdoctoral Researcher
Computer Science and Artificial Intelligence Laboratory, MIT

Concurrent programming is becoming increasingly important as systems are scaling up by increasing the number of processors rather than the speed of a single processor. However, concurrent programming can be very difficult and error-prone.

Please note: This master’s thesis presentaton will take place in DC 1304.

Kerem Akillioglu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor M. Tamer Özsu

Please note: This master’s thesis presentation will take place online.

Zhenbo Li, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Bin Ma, Yang Lu

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

Jim Shaw, PhD candidate
Department of Mathematics, University of Toronto

DNA is life’s instruction manual, but mathematically, DNA is simply a string over an alphabet of four letters. DNA can now easily be read into a computer, and the associated string-processing algorithms are being leveraged by biologists for exciting discoveries. However, this has created a flood of data in the petabytes, requiring modern and faster tools.

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

Andrew Ilyas, PhD candidate
Department of Electrical Engineering and Computer Science, MIT

Please note: This master’s thesis presentation will take place online.

Connor Stewart, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

Please note: This PhD seminar will take place in DC 3317.

Edward Lee, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ondřej Lhoták

Reasoning about the use of external resources is an important aspect of many practical applications. Effect systems enable tracking such information in types, but at the cost of complicating signatures of common functions. Capabilities coupled with escape analysis offer safety and natural signatures, but are often overly coarse grained and restrictive.