Graph-Massivizer

Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

Graph-Massivizer is a research project developing a high-performance, scalable, and sustainable platform for processing and reasoning with massive graph representations of extreme data. It offers five open-source software tools and FAIR graph datasets, covering the entire lifecycle of processing extreme data as massive graphs. The tools prioritize usability, intelligence automation, performance modeling, and environmental sustainability. They support stakeholders from diverse organizations, enabling them to leverage extreme data through massive graph programming and processing. Graph-Massivizer validates its innovation through four use cases focused on sustainable green finance, global environment protection foresight, green AI for the automotive industry, and data center digital twin for exascale computing. It aims to achieve significant efficiency gains and energy awareness compared to existing solutions, with improved analytics efficiency and energy efficiency for storage operations. The project also strives for enhanced data center energy efficiency and lower greenhouse gas emissions for graph operations. Graph-Massivizer brings together a diverse group of twelve partners, including universities, research centers, HPC centers, SMEs, and large enterprises, leveraging European expertise in graph processing and serverless computing and utilizing advanced European computing infrastructure.