4 citations · 7 across the 10 of their papers we have counts for
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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…