Sustainability and Carbon Management in Computing
Applications of LLMs in optimizing energy usage, reducing carbon footprint, and extending hardware lifespan for sustainable computing
Sustainability and Carbon Management in Computing
Research on Large Language Models in Sustainability and Carbon Management in Computing
Sustainable Cloud LLMs Through Aging-Aware CPU Management
Extending CPU lifespan to reduce embodied carbon in inference clusters
The Hidden Cost of AI-Generated Code
Evaluating Energy Efficiency in LLM-Produced Software
The Hidden Costs of LLMs: Energy Consumption at Inference Time
Benchmarking energy efficiency across language models reveals optimization opportunities
GREEN: AI-Powered Carbon Accounting
Making GHG Emission Reporting Accessible for All Businesses
Optimizing Energy Use in LLM Text Generation
Decoding strategies significantly impact GPU energy consumption
Greening LLM Services
Reducing the Carbon Footprint of Wireless Language Model Deployments
Sustainable AI: Greening Large Language Models
Balancing energy efficiency with performance for real-world applications
Energy Efficiency in AI Operations
Comparing energy consumption patterns in discriminative and generative AI systems
Greening LLMs: The Efficiency Imperative
Reducing the carbon footprint of large language models through optimization
