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UT Austin Computer Architecture Seminar Series

Welcome to the Computer Architecture Seminar Series at The University of Texas at Austin. Our seminar talks are open to all interested, whether affiliated to UT or not, at no charge. No prior registration is needed, feel free to just show up!

Location: EER, near the northeast corner of 24th and Speedway, 
(Typically) Tuesdays from 3:30pm – 5:00pm. Check talk details to confirm as day, time, and location can vary depending on speaker

Please see below for this semester’s schedule.

The Information page includes more details, including how to join our mailing list.

Current Schedule

Systems and Architectures for Efficient Graph Processing

Speaker: Jinho Lee, Seoul National University

Date: Tuesday September 1st, 2026 at 3:30pm

Location: EER 3.640/3.642 and https://utexas.zoom.us/j/87665454259

Abstract:

Graphs are universal structures for modeling relationships between entities, especially when their topology is irregular. As a result, graph processing has become a central workload for large-scale data processing. The challenge for modern systems and architectures is generally twofold: the complex connection structure makes efficient parallel execution difficult, while graph accesses are often much finer-grained than the access granularity of memory and storage systems.

In this talk, I will discuss various approaches to addressing these challenges. First, I will describe parallel algorithms and software techniques for efficiently handling irregular graph computation. I will then discuss how memory and storage systems can be redesigned to better support fine-grained graph accesses. Finally, I will show how these challenges re-emerge in modern graph workloads involving high-dimensional data, including graph neural networks (GNNs) and graph-based approximate nearest neighbor search (ANNS).

Bio:

Jinho Lee is an Associate Professor in ECE at Seoul National University, South Korea. He received his B.S., M.S., and Ph.D. degrees in ECE from Seoul National University in 2009, 2011, and 2016, respectively. After completing his Ph.D., he held positions at IBM Research and Yonsei University before joining Seoul National University. His research focuses on computer architecture and systems optimization for a wide range of applications, including graph processing, deep learning, and vector search. His work has appeared in leading conferences in computer architecture and systems and has received a Best Paper Award at PACT 2022 and Best Paper Candidate recognition at HPCA 2024 and HPCA 2026.