Descrizione del progetto
Elaborazione innovativa dei grafi per affrontare le sfide della società
I ricercatori europei stanno facendo passi da gigante nell’elaborazione dei grafi e nel calcolo serverless. Il progetto Graph-Massivizer, finanziato dall’UE, svilupperà una piattaforma ad alte prestazioni, scalabile e sostenibile per l’elaborazione delle informazioni e il ragionamento basata sulla rappresentazione dei grafi massivi dei dati estremi. Il progetto predisporrà cinque strumenti software open-source e set di dati a grafo FAIR. Gli strumenti si concentreranno sulla fruibilità olistica (ingestione di dati estremi e creazione di grafi massivi), sull’intelligenza automatizzata (analisi e ragionamento), sulla modellizzazione delle prestazioni e sui compromessi di sostenibilità ambientale. Il progetto convaliderà l’innovazione su quattro casi d’uso complementari che riguardano l’economia, la società e l’ambiente. Graph-Massivizer prevede di dimostrare un miglioramento di due volte dell’efficienza energetica dei centri dati e una riduzione di oltre il 25 % delle emissioni di gas a effetto serra per le operazioni di base sui grafi.
Obiettivo
Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. It delivers a toolkit of five open-source software tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as massive graphs. The tools focus on holistic usability (from extreme data ingestion and massive graph creation), automated intelligence (through analytics and reasoning), performance modelling, and environmental sustainability tradeoffs, supported by credible data-driven evidence across the computing continuum. The automated operation based on the emerging serverless computing paradigm supports experienced and novice stakeholders from a broad group of large and small organisations to capitalise on extreme data through massive graph programming and processing.
Graph Massivizer validates its innovation on four complementary use cases considering their extreme data properties and coverage of the three sustainability pillars (economy, society, and environment): sustainable green finance, global environment protection foresight, green AI for the sustainable automotive industry, and data centre digital twin for exascale computing. Graph Massivizer promises 70% more efficient analytics than AliGraph, and 30% improved energy awareness for ETL storage operations than Amazon Redshift. Furthermore, it aims to demonstrate a possible two-fold improvement in data centre energy efficiency and over 25% lower GHG emissions for basic graph operations.
Graph-Massivizer gathers an interdisciplinary group of twelve partners from eight countries, covering four academic universities, two applied research centres, one HPC centre, two SMEs and two large enterprises. It leverages the world-leading roles of European researchers in graph processing and serverless computing and uses leadership-class European infrastructure in the computing continuum.
Campo scientifico
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencescomputer and information sciencesdata sciencedata processing
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
9020 Klagenfurt am Wörthersee
Austria