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cs.SE2025
Energy Consumption of Dataframe Libraries for End-to-End Deep Learning Pipelines:A Comparative Analysis
Punit Kumar, Asif Imran, Tevfik Kosar
This paper presents a detailed comparative analysis of the performance of three major Python data manipulation libraries - Pandas, Polars, and Dask - specifically when embedded wit…
cs.SE2025
Evaluating the Energy-Efficiency of the Code Generated by LLMs
Md Arman Islam, Devi Varaprasad Jonnala, Ritika Rekhi +5
As the quality of code generated by Large Language Models (LLMs) improves, their adoption in the software industry for automated code generation continues to grow. Researchers prim…