EU Project
Graph-Massivizer
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PRESS RELEASE
Graph-Massivizer promotes climate-neutral and sustainable economic sectors boosted by graph data processing.
EU Project
Graph Massivizer
About the Project
Graph-Massivizer
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.
Consortium
Graph-Massivizer gathers a consortium 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.
Graph-Massivizer Software Tools
The project delivers the Graph-Massivizer toolkit of five open-source software (OSS) tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as MG.
The tools focus on holistic
1. Usability
2. Automated intelligence
3. Performance modelling
4. Environmental sustainability tradeoffs supported by credible data-driven evidence
5. Across HPC systems and computing continuum
Graph-Massivizer Software Tools
The project delivers the Graph-Massivizer toolkit of five open-source software (OSS) tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as MG.
The tools focus on holistic
1. Usability
2. Automated intelligence
3. Performance modelling
4. Environmental sustainability tradeoffs supported by credible data-driven evidence
5. Across HPC systems and computing continuum
Use Cases
News
Blog
Unleashing the Power of Graph-Massivizer: Transforming Data Analysis
The Webinar, held on November 29th 2023 is now on line on the Graph-Massivizer YouTube Channel. Have a look at the full recording to know more about the potential of the Graph-Massivizer project to boost the impact of extreme and sustainable graph processing for...
Unveiling The Future: How Event Registry Utilizes Graph-Massivizer to Fuel UN Sustainable Development Goals
EVENTREGISTRY Unveiling The Future: How Event Registry Utilizes Graph-Massivizer to Fuel UN Sustainable Development Goals The Pioneering Spirit of Graph-Massivizer Project In a world drowning in data, the need for advanced processing capabilities has never been more...
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)The preceding blog (part 1) highlighted the challenges posed by historical data, encompassing limitations related to data...
