| Title: |
Energy and resource comparison of current applications with a focus on statistical analyses and evaluations using the example of MATLAB and R |
| Authors: |
Seegert, Tim; Bergmann, Malina; Brömme, Josephine; Junger, Dennis; Wohlgemuth, Volker |
| Contributors: |
Wohlgemuth, Volker; Kranzlmüller, Dieter; Höb, Maximilian |
| Publisher Information: |
Gesellschaft für Informatik e.V. |
| Publication Year: |
2023 |
| Subject Terms: |
Blue Angel of Software; Energy Consumption; Green Coding; Green IT; Green Computing; Sustainable Software Engineering; Energy Efficiency; Resource Efficiency; MATLAB |
| Description: |
This 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. |
| Document Type: |
conference object |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
EnviroInfo 2023; Lecture Notes in Informatics (LNI) - Proceedings, Volume P-342; https://dl.gi.de/handle/20.500.12116/43355 |
| DOI: |
10.18420/env2023-007 |
| Availability: |
https://dl.gi.de/handle/20.500.12116/43355; https://hdl.handle.net/20.500.12116/43355; https://doi.org/10.18420/env2023-007 |
| Accession Number: |
edsbas.3B5CF2CF |
| Database: |
BASE |