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Energy and resource comparison of current applications with a focus on statistical analyses and evaluations using the example of MATLAB and R

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dc.contributor.authorSeegert, Tim
dc.contributor.authorBergmann, Malina
dc.contributor.authorBrömme, Josephine
dc.contributor.authorJunger, Dennis
dc.contributor.authorWohlgemuth, Volker
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorKranzlmüller, Dieter
dc.contributor.editorHöb, Maximilian
dc.date.accessioned2023-12-15T09:22:25Z
dc.date.available2023-12-15T09:22:25Z
dc.date.issued2023
dc.description.abstractThis paper compares the energy and resource efficiency between MATLAB and R, two widely used programming languages in scientific computing and data analysis. A load driver and automation software, Power Automate, were utilized as a system under test to measure and evaluate the performance of both languages. Before the experiment, specific mathematical operations and execution methods were developed in MATLAB and R scripts. The measurement and evaluation were conducted using the Oscar framework. The results indicate that R outperforms MATLAB in baseline and statistical operations, while MATLAB excels in matrix calculations. These findings provide valuable insights for selecting the most suitable programming language based on specific computational requirements, optimizing energy consumption and resource utilization.en
dc.identifier.doi10.18420/env2023-007
dc.identifier.isbn978-3-88579-736-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43355
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnviroInfo 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-342
dc.subjectBlue Angel of Software
dc.subjectEnergy Consumption
dc.subjectGreen Coding
dc.subjectGreen IT
dc.subjectGreen Computing
dc.subjectSustainable Software Engineering
dc.subjectEnergy Efficiency
dc.subjectResource Efficiency
dc.subjectMATLAB
dc.subjectR
dc.titleEnergy and resource comparison of current applications with a focus on statistical analyses and evaluations using the example of MATLAB and Ren
dc.typeText/Conference Paper
gi.citation.endPage90
gi.citation.publisherPlaceBonn
gi.citation.startPage81
gi.conference.date11.-13. Oktober 2023
gi.conference.locationGarching, Germany
gi.conference.reviewfull
gi.conference.sessiontitleSustainable Software Engineering and Energy Efficiency

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P342 - EnviroInfo 2023
Environmental Informatics 2023