Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

Author:

Prodan Radu1,Kimovski Dragi1,Bartolini Andrea2,Cochez Michael3,Iosup Alexandru3,Kharlamov Evgeny4,Rozanec Joze5,Vasiliu Laurentiu6,Varbanescu Ana Lucia7

Affiliation:

1. University of Klagenfurt,Austria

2. University of Bologna,Italy

3. VU Amsterdam,The Netherlands

4. Bosch Center for Artificial Intelligence,Renningen,Germany

5. Jožef Stefan Institute,Ljubljana,Slovenia

6. Peracton Ltd.,Galway,Ireland

7. University of Twente,The Netherlands

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Building Massive Knowledge Graphs using an Automated ETL Pipeline;Companion of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

2. Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum;Lecture Notes in Computer Science;2024

3. Extreme and Sustainable Graph Processing for Green Finance Investment and Trading;Communications in Computer and Information Science;2024

4. CZU data platform: Initial Study;2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor);2023-11-06

5. The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

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