Carbon, Power, and Sustainability in ATLAS Computing

The ATLAS Collaboration operates a large, distributed computing infrastructure: almost 1M cores of computing and over 1 EB of data are distributed over about 100 computing sites worldwide. These resources contribute significantly to the total carbon footprint of the experiment, and they are expected to grow by a large factor as a part of the experimental upgrades for the HL-LHC at the end of the decade. This contribution describes various efforts to understand, monitor, and reduce the carbon footprint of the distributed computing of the experiment. This includes efforts towards constructing a full life-cycle assessment model for the carbon impact of ATLAS distributed computing, all with the goal of making recommendations for sites to reduce their carbon footprint for the HL-LHC.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701344
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Carbon, Power, and Sustainability in ATLAS Computing

Daniel Schien, Paul Shabajee, Zachary Marshall, Emma Sian Kuwertz et al.
EPJ Web of Conferences
Distributed and Parallel Computing Systems
article

Carbon, Power, and Sustainability in ATLAS Computing

Daniel Schien, Paul Shabajee, Zachary Marshall, Emma Sian Kuwertz, Rodney Walker
article en

Abstract

The ATLAS Collaboration operates a large, distributed computing infrastructure: almost 1M cores of computing and over 1 EB of data are distributed over about 100 computing sites worldwide. These resources contribute significantly to the total carbon footprint of the experiment, and they are expected to grow by a large factor as a part of the experimental upgrades for the HL-LHC at the end of the decade. This contribution describes various efforts to understand, monitor, and reduce the carbon footprint of the distributed computing of the experiment. This includes efforts towards constructing a full life-cycle assessment model for the carbon impact of ATLAS distributed computing, all with the goal of making recommendations for sites to reduce their carbon footprint for the HL-LHC.

EPJ Web of ConferencesVol. 337
Lawrence Berkeley National Laboratory (US), University of Bristol (GB), Ludwig-Maximilians-Universität München (DE)
Openalex Percentile: Top 67%
Distributed and Parallel Computing Systems
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Carbon, Power, and Sustainability in ATLAS Computing — Daniel Schien, Paul Shabajee, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS