189 citations · 202 across the 4 of their papers we have counts for
4 papers
Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead
Priyavanshi Pathania, Nikhil Bamby, Rohit Mehra +5
The proliferation of software and AI comes with a hidden risk: its growing energy and carbon footprint. As concerns regarding environmental sustainability come to the forefront, un…
Do Generative AI Tools Ensure Green Code? An Investigative Study
Samarth Sikand, Rohit Mehra, Vibhu Saujanya Sharma +3
Software sustainability is emerging as a primary concern, aiming to optimize resource utilization, minimize environmental impact, and promote a greener, more resilient digital ecos…
Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMs
Samarth Sikand, Rohit Mehra, Priyavanshi Pathania +5
While Generative AI stands to be one of the fastest adopted technologies ever, studies have made evident that the usage of Large Language Models (LLMs) puts significant burden on e…
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4
We have recently witnessed tremendous success of Machine Learning (ML) in practical applications. Computer vision, speech recognition and language translation have all seen a near…