Efficient Data Processing: Assessing the Performance of Different Programming Languages

Author:

Beierlieb Lukas1ORCID,Bauer André2ORCID,Leppich Robert1ORCID,Iffländer Lukas1ORCID,Kounev Samuel1ORCID

Affiliation:

1. University of Würzburg, Würzburg, Germany

2. University of Chicago, Chicago, IL, USA

Publisher

ACM

Reference5 articles.

1. 2016. Data Science Report 2016 . Technical Report. CrowdFlower . 2016. Data Science Report 2016. Technical Report. CrowdFlower.

2. An Empirical Analysis of C#, PHP, JAVA, JSP and ASP. Net regarding performance analysis based on CPU utilization;Arif Md Ahsan;Banglavision Research Journal,2014

3. Energy efficiency across programming languages: how do energy, time, and memory relate?

4. Norbert Schmitt , Supriya Kamthania , Nishant Rawtani , Luis Mendoza , Klaus-Dieter Lange , and Samuel Kounev . 2021 . Energy-Efficiency Comparison of Common Sorting Algorithms. 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2021), 1--8. Norbert Schmitt, Supriya Kamthania, Nishant Rawtani, Luis Mendoza, Klaus-Dieter Lange, and Samuel Kounev. 2021. Energy-Efficiency Comparison of Common Sorting Algorithms. 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) (2021), 1--8.

5. Towards effective assessment of steady state performance in Java software: are we there yet?

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