Climate action and green software engineering have risen to the top of many technology companies’ agenda, with accuracy hungry algorithms ML software consuming more and more computational resources, largely benefiting from the increasingly better hardware. Are the results worth the environmental cost?
This article introduces the field of green software engineering, showing the Green Software Foundation’s Software Carbon Intensity Specification, which is used to estimate the carbon footprint of software, and discuss ideas on how to make machine learning greener. It aims to give you the tools to take an active part in the climate solution.
