MUC++

Hosted by Rohde & Schwarz (https://www.rohde-schwarz.com)

Registration On-Premise Participation (by May 26th):
TBA

Please note: Registration is required for all on-premise attendees. Registered participants will receive directions, parking details, and access information to the R&S campus via email.

Online Participation: No registration needed. We provide the streaming link here one day in advance

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On May 28th we'll have the pleasure to welcome Tina Ulbrich to our user group. Tina works at ROSEN, a service provider in the oil and gas industry. She writes and maintains numerical and data processing algorithms for pipeline inspection data. She highly values simple, modern and clean code, using the latest language features. She promotes refactoring, high test coverage and collaboration between developers. Tina holds a university degree in Bio-Mathematics from the University of Applied Science in Zittau/Görlitz. She is a member of the #include Discord community.

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"Green Computing"

Abstract
Energy consumption of IT centers is on the rise worldwide and makes up a non-negligible part of the total consumption. This is not just an economical but also an ecological problem. Furthermore, battery powered devices like smartphones and tablets depend on energy efficient software for the longevity of a battery charge. What influences the rising energy consumption and is there something we can do about it? One not so obvious factor is the choice of which programming language is used to write the programs that are used all over the world.
In this talk I want to analyze how the different programming languages influence the energy consumption of the program. I am going to cite studies and an analysis done together with my colleague, using different programming languages, like C++, C#, Rust, Python and more. Energy consumption is defined as run time multiplied by power consumption and our analysis will show the influence of choosing a different programming language for both components of energy consumption.