1 citations · 2 across the 9 of their papers we have counts for
10 papers
VERA: A Responsible AI Dashboard for Assessing LLM Deployments in Light of the EU AI Act
Robin Quériaux, Solveig Bachellery, Léa Déléris +4
Institutions that deploy large language models in regulated settings often need technical evidence of responsible AI practices before approving a deployment. COMPL-AI provides a te…
Beyond the Need for Speed: Energy-Aware Code Generation via Simulation-Guided Reinforcement Learning
Saurabhsingh Rajput, Tushar Sharma
Code models strictly prioritize functional correctness, leaving software energy efficiency as an unoptimized byproduct. Training models to generate energy-efficient code requires r…
Hierarchical Fault Detection and Diagnosis for Transformer Architectures
Sigma Jahan, Saurabh Singh Rajput, Tushar Sharma +1
Transformers now underpin critical AI systems across industry and research. Yet their faults can silently alter model behavior without runtime errors, and existing techniques offer…
Watts This Smell: A Comprehensive Taxonomy of Software Energy Smells
Mohammadjavad Mehditabar, Saurabhsingh Rajput, Tushar Sharma
As software proliferates across domains, its aggregate energy footprint has become a major concern. To reduce software's growing environmental footprint, developers need to identif…
CodeGreen: Towards Improving Precision and Portability in Software Energy Measurement
Saurabhsingh Rajput, Tushar Sharma
Accurate software energy measurement is critical for optimizing energy, yet existing profilers force a trade-off between measurement accuracy and overhead due to tight coupling wit…
Energy Flow Graph: Modeling Software Energy Consumption
Saurabhsingh Rajput, Tushar Sharma
The growing energy demands of computational systems necessitate a fundamental shift from performance-centric design to one that treats energy consumption as one of the primary desi…
FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels
Saurabhsingh Rajput, Alexander Brandt, Vadim Elisseev +1
Artificial Intelligence (AI) applications, such as Large Language Models, are primarily driven and executed by Graphics Processing Units (GPUs). These GPU programs (kernels) consum…
Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency
Mohammadjavad Mehditabar, Saurabhsingh Rajput, Antonio Mastropaolo +1
The rapid advancement of AI technologies and their accelerated adoption in software development necessitates a systematic evaluation of their environmental impact alongside functio…
Tu(r)ning AI Green: Exploring Energy Efficiency Cascading with Orthogonal Optimizations
Saurabhsingh Rajput, Mootez Saad, Tushar Sharma
AI's exponential growth intensifies computational demands and energy challenges. While practitioners employ various optimization techniques, that we refer as "knobs" in this paper,…
COMET: Generating Commit Messages using Delta Graph Context Representation
Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma
Commit messages explain code changes in a commit and facilitate collaboration among developers. Several commit message generation approaches have been proposed; however, they exhib…