UGAL-Q: A Multi-Agent Reinforcement Learning-Based Routing for Dragonfly Networks (Oct 17)

Published: | 7:50 am | Posted in: Events | Leave a comment

Speaker: Xin Yuan Date: Oct 17, 2:15 – 3:05 pm Abstract: Multi-Agent Reinforcement Learning (MARL)-based routing has emerged as a promising approach for high-performance interconnect networks such as Dragonfly, offering a viable alternative to the widely used Universal Globally Adaptive Load-balanced (UGAL) routing…

Dr. Grigory Fedyukovich has a paper accepted at OOPSLA

Published: | 7:42 am | Posted in: News | Leave a comment

Dr. Grigory Fedyukovich has a paper accepted at OOPSLA Dr. Grigory Fedyukovich has a paper accepted at the 2025 ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages & Applications (OOPSLA). The paper, titled “A Flow-Sensitive Refinement Type System for Verifying eBPF Programs”, is co-authored by PhD students Ameer Hamza and Lucas Zavalia. The paper presents […]