Master Thesis in Energy Consumption on Database Management Systems
-
Updated
May 18, 2021 - TeX
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.
Master Thesis in Energy Consumption on Database Management Systems
Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions
Research Project by DreamBrook Labs
Performance test for trigonometric functions
This repository contains the tool presented at ACAT2024 (PoC) and at ICHEP2024. PoC presented at ISGC2023
A curated collection of research, tools, and best practices for environmentally sustainable AI development and deployment.
Designing Energy Aware Scheduling and Task Allocation Algorithms for Online Reinforcement Learning Applications in Cloud Environments (IEEE Transactions on Computational Social Systems)
A logic programming solution to assess the ecological footprint of your ICT system
Repository to document my Doctoral (Computer Science) Research
2017 student project website on Green Computing
This project is a REST API REST API for a ticketing system using Django Rest Framework (DRF)
An ebpf module that exports energy statistics for each process
Saas app for physalia
An attempt to centralized some resources about sustainable programming, green computing and frugal engineering.
Green Software Engineering Playbooks
Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.
Web app for Physalia SaaS
An application that measures software energy consumption of user device and computes software carbon intensity for data-driven decision making and software carbon accounting
Python library for Green Computing - uses carbon intensity APIs to make code execution low-carbon