We are looking to fill several presentation slots, so please reach out if you are interested!

When: Mondays 4:30–5:30pm (CST)
Where: Siebel Center, Room 4124 (or via zoom)
Faculty: Charith Mendis, Vikram Adve, Sasa Misailovic, Gagandeep Singh, Lawrence Rauchwerger
Organizers: Jai Arora, Russel Arbore

Topics of interest include, but are not limited to:

This seminar features student presentations on in-progress or published research, as well as invited external academic and industry speakers. Students enrolled in the seminar for credit are required to present at least once, and may choose to either present their own work or a published paper from a related journal or conference (e.g., PLDI, PPOPP, ASPLOS).

Interested in sharing your work? Send an email to the organizers with the title of your presentation and a link to your paper (if applicable).

Spring 2024 Calendar

Date Discussion Lead Paper/Topic Recording
Jan 29 Charith Mendis Organization Meeting
Feb 5 Marie McCord Search-Based Regular Expression Inference on a GPU Video
Feb 12 Neil Zhao Modern Clouds: Side-Channel Attacks and Defenses Video
Feb 19 Jacob Laurel Automated Analyses for Continuous Computations Video
Feb 26 Joshua Levine Efficiently Scaling Transformer Inference Video
Ahan Gupta A Framework for Fine-Grained Synchronization of Dependent GPU Kernels
Mar 4 Yilin Zhang Efficient Parallel Functional Programming with Effects Video
Mar 11 Spring Break (no class)
Mar 18 Paul Krogmeier Learning Symbolic Concepts and Domain-specific Languages Video
Mar 25 Charles Yuan Building the Tools to Program a Quantum Computer Video
Apr 1 Muyan Hu Optimal Kernel Orchestration for Tensor Programs with Korch Video
Apr 8 Vimarsh Sathia Exocompilation for productive programming of hardware accelerators
Kun Wu Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
Apr 15 Isha Chaudhary COMET: Neural Cost Model Explanation Framework Video
Jiawei Liu NeuRI: Diversifying DNN Generation via Inductive Rule Inference
Apr 22 Yufeng Wang TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks Video
Yifan Zhao Felix: Optimizing Tensor Programs with Gradient Descent
Apr 29 Steven Xia Fuzz4All: Universal Fuzzing with Large Language Models Video
Zhihao Wang Efficient GPU Kernels for N:M-Sparse Weights in Deep Learning
Rahul Bothra Formal Abstractions for Packet Scheduling
May 6 Finals Week (no class)

See the archive for previous iterations.