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cs.SE2025
Generating Energy-Efficient Code via Large-Language Models -- Where are we now?
Radu Apsan, Vincenzo Stoico, Michel Albonico +3
Context. The rise of Large Language Models (LLMs) has led to their widespread adoption in development pipelines. Goal. We empirically assess the energy efficiency of Python code ge…
cs.PL2025★ 1 cited
An Empirical Study on the Performance and Energy Usage of Compiled Python Code
Vincenzo Stoico, Andrei Calin Dragomir, Patricia Lago
Python is a popular programming language known for its ease of learning and extensive libraries. However, concerns about performance and energy consumption have led to the developm…