Stammdaten

Titel: Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe: The Graph-Massivizer project
Beschreibung:

Graph-Massivizer is a Horizon Europe project that 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.

Schlagworte:
Typ: Gastvortrag
Homepage: https://nestid.webspace.durham.ac.uk/nestid-seminars/past-nestid-seminars/nestid-seminar-2022-23/
Veranstaltung: Network Engineering Science and Theory in Durham (NESTiD Seminar 2022/23) (Durham )
Datum: 09.03.2023
Vortragsstatus: stattgefunden (online)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Vortragsfokus
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
TeilnehmerInnenkreis
  • Überwiegend international
Publiziert?
  • Nein
Arbeitsgruppen
  • Verteilte Systeme

Kooperationen

Organisation Adresse
Durham University
Durham
Großbrit. u. Nordirland
GB  Durham