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Computers are an integral part of our technological and cultural development which brings a lot of benefits, but also an increased energy demand which is problematic in the context of the unfolding climate crisis.
Starting from a greenhouse gas assessment within the astronomical science community, we will look into the electricity production and consumption in Germany in general and the physical boundary conditions of energy consumption in computers and data centers in particular. We will learn about the trade-off in local and cloud-based data processing and discuss strategies in minimising the CO2-footprint of computing activities. We will touch upon coding and computing efficiency best-practices and conclude with ideas to solve the ever increasing energy demand of computers.
This event is part of a series of lectures and tutorials on data science topics hosted by the Platform for Challenges in Data Science in the excellence cluster "Quantum Universe" between DESY and Universität Hamburg. It is intended specifically for the PhD students in the cluster but younger and more senior members are of course also welcome.
Gregor Kasieczka, Matthias Schröder