3 papers
cs.SE2026
Attention to Detail: Evaluating Energy, Performance, and Accuracy Trade-offs Across vLLM Configurations
Nada Zine, Tristan Coignion, Vincenzo Stoico +4
Large Language Models are reshaping how software is developed and maintained. They are typically deployed in production using inference engines such as vLLM, which can efficiently…
cs.DB2026
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
Yifan Wang, Debabrota Basu, Pierre Bourhis +2
Database Management Systems (DBMS) are crucial for efficient data management and access control, but their administration remains challenging for Database Administrators (DBAs). Tu…
cs.SE2024
Green My LLM: Studying the key factors affecting the energy consumption of code assistants
Tristan Coignion, Clément Quinton, Romain Rouvoy
In recent years,Large Language Models (LLMs) have significantly improved in generating high-quality code, enabling their integration into developers' Integrated Development Environ…