Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems

Abstract

The rapid growth in demand for HPC systems has led to a rise in carbon footprint, which requires urgent intervention. In this work, we present a comprehensive analysis of the carbon footprint of high-performance computing (HPC) systems, considering the carbon footprint during both the hardware manufacturing and system operational stages. Our work employs HPC hardware component carbon footprint modeling, regional carbon intensity analysis, and experimental characterization of the system life cycle to highlight the importance of quantifying the carbon footprint of HPC systems.

References in corpus (4)

• Sustainable AI: Environmental Implications, Challenges and Opportunities
• Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters
• Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters
• The Ecological Impact of High-performance Computing in Astrophysics

Cited by in corpus (6)

• A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
• Sub-milliwatt threshold power and tunable-bias all-optical nonlinear activation function using vanadium dioxide for wavelength-division multiplexing photonic neural networks
• ReGate: Enabling Power Gating in Neural Processing Units
• ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
• ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing
• Core Hours and Carbon Credits: Incentivizing Sustainability in HPC