Quantifying CO2 Emission Reduction Through Spatial Partitioning in Deep Learning Recommendation System Workloads
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DOI: 10.1109/mm.2024.3373443
Abstract: The resource demand of modern applications has been increasing at a dizzying pace. This rising prominence is accompanied by a rising concern for the greenhouse gas emissions and carbon footprints of these applications. Deep learning… read more here.
Keywords: deep learning; learning recommendation; co2 emission; quantifying co2 ... See more keywords