We are a group of computer science researchers part of SymbioticLab at the University of Michigan.
We take initiative in tackling the energy consumption problem of modern machine learning.
Observing and understanding energy consumption of modern ML
Optimizing ML energy consumption based on understandings
Exposing energy to ML developers to encourage optimization
Understanding and Optimizing GPU Energy Consumption of DNN Training
WebsiteCarbon-Aware Zeus wins the Second best overall solution prize in CarbonHack22 organized by the Green Software Foundation!
Project page YouTubeOur first project "Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training" was accepted to appear at NSDI '23!
Zeus website
