This topic gathers projects that exemplify or help to provide green computing. Green software is engineered to reduce energy consumption, which considers factors like algorithmic and language efficiency, networking, storage footprint, compute requirements, and so forth. Some projects follow great green software practices that should be highlighted; others help the rest of the world greenify their own code. The projects collected here are a mix of both.
PowerAPI is a Python framework for building software-defined power meters.
Measure energy and carbon consumption of software
Eco CI Energy estimation for Github Actions Runner VMs
SmartWatts is a formula for a self-adaptive software-defined power meter based on the PowerAPI framework.
🌱 Android battery monitor app
An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.
🌏 Simple Energy-Calculator Script In Python
Carbon Limiting Auto Tuning for Kubernetes
A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, Openstack, k8s, _etc_
A green technology self-assessment tool for organisations
Simulator and datasets to research on carbon-aware temporal workload shifting.
PowerAPI formula using RAPL counters to provides power consumption information.
A Python tool to measure the energy consumption of software
A curation of resources, projects, and communities related to permacomputing.
Energy measurement framework for Mobile Apps
Blaz: a library for frugal matrix computations. Blaz provides compression/uncompression functions for matrices of floating-point numbers and makes it possible to perform basic linear algebra on the compressed matrices, without uncompressing them.
Compact Image Captioning (CoCA) is an open source image captioning project to promote Green Computer Vision, as well as to make image captioning research accessible to universities, research labs and individual practitioners with limited financial resources.
This repository contains the tool presented at ACAT2024 (PoC) and at ICHEP2024. PoC presented at ISGC2023