1 citations · 1 across the 4 of their papers we have counts for
4 papers
Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
Pelin Rabia Kuran, Rumbidzai Chitakunye, Vincenzo Stoico +2
The rapid adoption of large language models (LLMs) has raised concerns about their substantial energy consumption, especially when deployed at industry scale. While several techniq…
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…
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…
A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
Vlad-Andrei Cursaru, Laura Duits, Joel Milligan +4
Context. Nowadays, 83% of software developers use Large Language Models (LLMs) to generate code. LLMs recently became essential to increase the productivity of software developers…