F CO2 Emissions Related to Experiments
Experiments were conducted using the private infrastructure of the ItaliaNLP Lab22 at the Institute for Computational Linguistics “A. Zampolli” (ILC-CNR) in Pisa, which has an estimated carbon efficiency of 0.358 kgCO\(_2\)eq/kWh (Moro and Lonza 2018). A cumulative of roughly 500 hours of computation was performed on hardware of type Tesla K40 (TDP of 245W). Total emissions are estimated to be 52.63 kgCO\(_2\)eq
Estimations were conducted using the Machine Learning Impact Calculator23 presented in Lacoste et al. (2019).
References
Lacoste, Alexandre, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres. 2019. “Quantifying the Carbon Emissions of Machine Learning.” arXiv Preprint arXiv:1910.09700.
Moro, Alberto, and Laura Lonza. 2018. “Electricity Carbon Intensity in European Member States: Impacts on Ghg Emissions of Electric Vehicles.” Transportation Research Part D: Transport and Environment 64. Elsevier: 5–14.