about us

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.

Projects

Leaderboard logo

How much energy do modern large language models (LLMs) consume?

Website
Zeus logo

A Framework for Deep Learning Energy Measurement and Optimization

Website

Members

Admin email: admins@ml.energy

Mosharaf Chowdhury

Associate Professor

SymbioticLab, University of Michigan

Jae-Won Chung

Ph.D. Student

SymbioticLab, University of Michigan

Jiachen Liu

Ph.D. Student

SymbioticLab, University of Michigan

Jie You

Alumnus, Ph.D.


Luoxi Meng

Alumnus, MS


Yile Gu

Alumnus, MS


Zhenning Yang

Alumnus, MS


News

Mozilla Tech Fund 2024

Zeus receives $50,000 for development support from the 2024 Mozilla Technology Fund. Thanks, Mozilla!

Announcement

Talk @ PyTorch conf 2023

Jae-Won gave a talk about energy-efficient ML at the PyTorch conference 2023!

YouTube Slides

ML.ENERGY Colosseum

Two LLMs will battle on your command in terms of both response quality and energy. Your judgement tips the scale of victory.

Colosseum

ML.ENERGY Blog

We're launching our research & tech blog! Stay tuned for know-how and insights.

Blog

ML.ENERGY Leaderboard

A rich benchmark and comparison of performing inference on modern LLMs with metrics including energy, latency, and model quality!

Leaderboard Repository

Chase → ICLR Workshop '23

Based on Carbon-Aware Zeus, Chase was accepted to appear at the ICLR workshop on Tackling Climate Change with Machine Learning!

Repository Paper

Zeus in Carbon Hack 22

Carbon-Aware Zeus wins the Second best overall solution prize in CarbonHack22 organized by the Green Software Foundation!

Project page YouTube

Zeus → NSDI '23

Our first project "Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training" was accepted to appear at NSDI '23!

Zeus website Paper

Sponsors

Any opinions, findings, and conclusions of our works are those of the author(s) and do not necessarily represent the official policy of any of these organizations.

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