SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

🔋🎯 Thread-level, NUMA-aware energy attribution model for multi-tenancy

An attempt to centralized some resources about sustainable programming, green computing and frugal engineering.

A logic programming solution to assess the ecological footprint of your ICT system

ECOLIFE: Carbon-Aware Serverless Function Scheduling for Sustainable Computing

Energy and carbon-aware extension of Vidur for sustainable LLM inference simulation and analysis 💡🌳

Carbon Aware cloud scheduler -- enabling a sustainable cloud

Sustainability Guidelines for Developers.

Reproducible, efficient, flexible batch processing using pipelines for sustainable software experiments

High-precision Python tool to monitor and log CPU, GPU, and RAM energy consumption in real time. Analyze component-level power usage to optimize performance and efficiency. Lightweight, configurable, and ideal for energy-aware development and profiling.

Estimates carbon emissions of compute jobs run on high-performance computing clusters.

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