11–13 Dec 2024
CERN
Europe/Zurich timezone

Aware Computing in ATLAS: Estimating Carbon Footprint for Workloads with PanDA

12 Dec 2024, 11:10
15m
31/3-004 - IT Amphitheatre (CERN)

31/3-004 - IT Amphitheatre

CERN

105
Show room on map

Speaker

Fernando Harald Barreiro Megino (University of Texas at Arlington)

Description

The ATLAS experiment relies on the PanDA workload management system to handle its analysis and production tasks across the Worldwide LHC Computing Grid (WLCG). In response to a request from the ATLAS Sustainability Forum, we've introduced a new feature: simple, informative estimates of the carbon emissions generated by each job.

To achieve this, we calculate CO₂ emissions by retrieving time-dependent, regional electricity grid emission intensities and using estimated core power consumption values. Emission totals are calculated in grams of CO₂, differentiated by region or a global average, and presented to users upon task completion. These estimates are also available in monitoring tools, distinguishing emissions by successful and failed jobs.

This feature is not meant to deter essential work but to raise awareness of the environmental impact of computational tasks, encouraging users to consider optimizing their workloads for a greener future.

Primary authors

Aleksandr Alekseev (The University of Texas at Arlington (UTA)) Ben Bruers (Deutsches Elektronen-Synchrotron (DE)) Fa-Hui Lin (University of Texas at Arlington (US)) Fernando Harald Barreiro Megino (University of Texas at Arlington) Misha Borodin (University of Iowa (US)) Rodney Walker (Ludwig Maximilians Universitat (DE)) Tadashi Maeno (Brookhaven National Laboratory (US)) Tatiana Korchuganova (University of Pittsburgh (US))

Presentation materials