EMERS: Energy Meter for Recommender Systems

TL;DR

EMERS is a software library that enables easy measurement and comparison of energy consumption in recommender systems experiments, promoting sustainability and transparency in research.

Contribution

It introduces EMERS, the first tool designed to measure, monitor, and share energy consumption data specifically for recommender systems research.

Findings

First tool for energy measurement in recommender systems

Simplifies energy monitoring with user interface

Enhances sustainability awareness in research

Abstract

Due to recent advancements in machine learning, recommender systems use increasingly more energy for training, evaluation, and deployment. However, the recommender systems community often does not report the energy consumption of their experiments. In today's research landscape, no tools exist to easily measure the energy consumption of recommender systems experiments. To bridge this gap, we introduce EMERS, the first software library that simplifies measuring, monitoring, recording, and sharing the energy consumption of recommender systems experiments. EMERS measures energy consumption with smart power plugs and offers a user interface to monitor and compare the energy consumption of recommender systems experiments. Thereby, EMERS improves sustainability awareness and simplifies self-reporting energy consumption for recommender systems practitioners and researchers.