ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems

High-performance computing (HPC) systems are becoming increasingly water-intensive due to their reliance on water-based cooling and the energy used in power generation. However, the water footprint of HPC remains relatively underexplored—especially in contrast to the growing focus on carbon emissions. In this paper, we present ThirstyFLOPS - a comprehensive water footprint analysis framework for HPC systems. Our approach incorporates region-specific metrics, including Water Usage Effectiveness, Power Usage Effectiveness, and Energy Water Factor, to quantify water consumption using real-world data. Using four representative HPC systems – Marconi, Fugaku, Polaris, and Frontier – as examples, we provide implications for HPC system planning and management. We explore the impact of regional water scarcity and nuclear-based energy strategies on HPC sustainability. Our findings aim to advance the development of water-aware, environmentally responsible computing infrastructures.

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Publication Details

Published
2025-11-12
DOI
https://doi.org/10.1145/3712285.3759804
Citations
1
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
0.82

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article

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems

Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari, Yankai Jiang
1 citations
Water-Energy-Food Nexus Studies
0.82
article

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems

Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari, Yankai Jiang
article en
1 citations

Abstract

High-performance computing (HPC) systems are becoming increasingly water-intensive due to their reliance on water-based cooling and the energy used in power generation. However, the water footprint of HPC remains relatively underexplored—especially in contrast to the growing focus on carbon emissions. In this paper, we present ThirstyFLOPS - a comprehensive water footprint analysis framework for HPC systems. Our approach incorporates region-specific metrics, including Water Usage Effectiveness, Power Usage Effectiveness, and Energy Water Factor, to quantify water consumption using real-world data. Using four representative HPC systems – Marconi, Fugaku, Polaris, and Frontier – as examples, we provide implications for HPC system planning and management. We explore the impact of regional water scarcity and nuclear-based energy strategies on HPC sustainability. Our findings aim to advance the development of water-aware, environmentally responsible computing infrastructures.

Northeastern University (US), University of Utah (US), Indian Institute of Technology Tirupati (IN)
National Science Foundation
Openalex Percentile: Top 21%
Water-Energy-Food Nexus Studies
0.82
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