78 citations · 80 across the 6 of their papers we have counts for
6 papers · 1 filter
Profiling the Energy Consumption of Serverless Functions with Joule Profiler
Jérémy Woirhaye, François Gibier, Anderson Andrei Da Silva +3
Cloud providers and customers have widely adopted serverless computing as a convenient paradigm for deploying and executing functions on demand. To do so, serverless platforms requ…
Joule-Profiler: Profiling the Energy Consumption of Build Automation Tools Made Easy
Jérémy Woirhaye, François Gibier, Romain Rouvoy
Build pipelines are integral to modern software development, yet their energy footprint remains largely invisible to practitioners. Existing CI energy tools either rely on model-ba…
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…
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…
Exploring Performance Trade-offs in JHipster
Edouard Guégain, Alexandre Bonvoisin, Clément Quinton +2
The performance of software systems remains a persistent concern in the field of software engineering. While traditional metrics like binary size and execution time have long been…
A Performance Study of LLM-Generated Code on Leetcode
Tristan Coignion, Clément Quinton, Romain Rouvoy
This study evaluates the efficiency of code generation by Large Language Models (LLMs) and measures their performance against human-crafted solutions using a dataset from Leetcode.…