232 Sustainable IT tools indexed in the toolbox
Welcome to the INR tool box that presents a list of Sustainable IT tools. Our goal for 2022 is to optimize this list: to improve the methodology for selecting tools and to cover all Sustainable IT themes.
If you have any suggestions for Sustainable IT tools or would like to get involved with us to help us optimize the toolbox, please write to us: outils-nr [@] institutnr.org
Explore a quickview of indexed tools in the Sustainable IT toolbox
Cpu energy meter
CPU Energy Meter is a Linux tool that allows you to monitor the energy consumption of Intel processors with fine temporal granularities (a few tens of milliseconds). Power monitoring is available for the following power domains: - by package domain (CPU socket) - by core domain (all processor cores in a package) - by uncore domain (uncore components, by example, integrated graphics on client processors) - by memory node (local memory of a package, server processors only) - by platform (all devices on the platform that are powered by an integrated power mechanism , for example, processor cores, SOC, memory, add-ons or peripherals)
Adversarial robustness toolbox
Python library for machine learning security. ART provides tools that enable developers and researchers to defend and evaluate learning (ML) models and applications against adverse threats. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video , etc.) and machine learning of tasks (classification, object detection, voice recognition, generation, certification, etc.).
Electricitymap
Allows you to view the quantity of CO₂ emitted to produce your electricity, in real time. The regions of the world are colored according to the carbon intensity (including all greenhouse gases) of the electricity consumed there.
#Energy #Reference data #EU #Electricity #CO2 #Europe
Cleer
Cloud Energy and Emissions Research offers a comprehensive open access model to assess the energy implications and emissions of cloud services in different regions and at different levels of market adoption. The model aims to provide full transparency on calculations and input value assumptions so that its results can be reproduced and the data and methods can be easily refined and improved by the research community.
#Cloud #Measurement #Energy #Emission