Examining the Environmental Impact of High-Powered Computing
DOI:
https://doi.org/10.61173/tbw9ek67Keywords:
High-powered Computing (HPC), Environ-mental Impact, Carbon Emissions, Policy Recommenda-tionsAbstract
In recent years, the popularity of high-performance computing (HPC) has made its environmental impact increasingly prominent. The operation of HPC equipment generates ecological problems such as air pollution, water wastage, and solid waste pollution, posing a serious threat to ecosystems and human health. This study aims to develop a broad model to assess the environmental impacts of carbon emissions, cooling water resources required, and e-waste generated during HPC operation. The ecological effects of HPC in terms of atmosphere, water resources, and solid waste were assessed through the model. We suggest technical and policy solutions designed to enhance energy efficiency, boost the share of renewable energy sources, refine the placement of data centers, encourage sustainable supply chains, and strengthen e-waste recycling programs. It highlights the criticality of the environmental impact of HPC and presents our research insights and recommendations to support global efforts to achieve sustainable development.
References
[1] Silva C A, Vilaa R, Pereira A, et al. A review on the decarbonization of high-powered computing centers. Renewable and Sustainable Energy Reviews, 2024, 189.
[2] Zheng F, Shen L, Dong F. Thoughts on the Low-Carbon Construction of High-powered Computing Platforms in Universities. Laboratory Research and Exploration. 2024.
[3] Dong N, Xu S, Fan Q, et al. A Real-Time Computational Power Carbon Emission Efficiency Evaluation System Based on Blockchain for Data Centers. Quality and Certification, 2024(8).
[4] Shen X, Wang J, Zhang M, et al. Research and Practice of Liquid Cooling Technology in High-Powered Computing Systems to Achieve the “Dual Carbon” Goals. Modern Industrial Economy and Informationization, 2024, 14(5):71-72.
[5] Xu D. Research on Resource Demand Prediction and Optimization Allocation Methods in Cloud Computing Environments. Hefei University of Technology. 2024.
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