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Friday, September 8, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Programming Languages • High Level Concurrency in C∀

Please note: This master’s thesis presentation will take place in DC 3317.

Colby Parsons, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter Buhr

Concurrent programs are notoriously hard to program and even harder to debug. Furthermore, concurrent programs must be performant, as the introduction of concurrency into a program is often done to achieve some form of speedup.

Friday, September 15, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Health Informatics • Parameterizing the Spatial Distribution of Renal Tumors using Modified Spherical Coordinates

Please note: This master’s thesis presentation will take place in DC 2102.

Christopher West, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Anita Layton, Justin Wan

Kidney cancer is a well-studied and highly prevalent cancer in which tumors grow and obstruct the functional tissues of the kidney. Medical imaging is commonly used to diagnose and verify the presence of these kidney tumors and can give some qualitative intuition on the scope of their proliferation.

Friday, September 15, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

Seminar • Systems and Networking • CASPR: Connectivity-Aware Scheduling for Partition Resilience

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

Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.