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Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If the whole ML field adopts best practices, we predict that by 2030, total carbon emissions from training will decline.
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David S. Patterson
Joseph E. Gonzalez
Urs Hölzle
Computer
University of California, Berkeley
Google (United States)
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Patterson et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69f25a11d4c794b733abc38e — DOI: https://doi.org/10.1109/mc.2022.3148714